Robotics
-
Team KAIST placed among top two at MBZIRC Maritime Grand Challenge
Representing Korean Robotics at Sea: KAIST’s 26-month strife rewarded
Team KAIST placed among top two at MBZIRC Maritime Grand Challenge
- Team KAIST, composed of students from the labs of Professor Jinwhan Kim of the Department of Mechanical Engineering and Professor Hyunchul Shim of the School of Electrical and Engineering, came through the challenge as the first runner-up winning the prize money totaling up to $650,000 (KRW 860 million).
- Successfully led the autonomous collaboration of unmanned aerial and maritime vehicles using cutting-edge robotics and AI technology through to the final round of the competition held in Abu Dhabi from January 10 to February 6, 2024.
KAIST (President Kwang-Hyung Lee), reported on the 8th that Team KAIST, led by students from the labs of Professor Jinwhan Kim of the Department of Mechanical Engineering and Professor Hyunchul Shim of the School of Electrical Engineering, with Pablo Aviation as a partner, won a total prize money of $650,000 (KRW 860 million) at the Maritime Grand Challenge by the Mohamed Bin Zayed International Robotics Challenge (MBZIRC), finishing first runner-up.
This competition, which is the largest ever robotics competition held over water, is sponsored by the government of the United Arab Emirates and organized by ASPIRE, an organization under the Abu Dhabi Ministry of Science, with a total prize money of $3 million.
In the competition, which started at the end of 2021, 52 teams from around the world participated and five teams were selected to go on to the finals in February 2023 after going through the first and second stages of screening. The final round was held from January 10 to February 6, 2024, using actual unmanned ships and drones in a secluded sea area of 10 km2 off the coast of Abu Dhabi, the capital of the United Arab Emirates. A total of 18 KAIST students and Professor Jinwhan Kim and Professor Hyunchul Shim took part in this competition at the location at Abu Dhabi.
Team KAIST will receive $500,000 in prize money for taking second place in the final, and the team’s prize money totals up to $650,000 including $150,000 that was as special midterm award for finalists.
The final mission scenario is to find the target vessel on the run carrying illegal cargoes among many ships moving within the GPS-disabled marine surface, and inspect the deck for two different types of stolen cargo to recover them using the aerial vehicle to bring the small cargo and the robot manipulator topped on an unmanned ship to retrieve the larger one. The true aim of the mission is to complete it through autonomous collaboration of the unmanned ship and the aerial vehicle without human intervention throughout the entire mission process. In particular, since GPS cannot be used in this competition due to regulations, Professor Jinwhan Kim's research team developed autonomous operation techniques for unmanned ships, including searching and navigating methods using maritime radar, and Professor Hyunchul Shim's research team developed video-based navigation and a technology to combine a small autonomous robot with a drone.
The final mission is to retrieve cargo on board a ship fleeing at sea through autonomous collaboration between unmanned ships and unmanned aerial vehicles without human intervention. The overall mission consists the first stage of conducting the inspection to find the target ship among several ships moving at sea and the second stage of conducting the intervention mission to retrieve the cargoes on the deck of the ship. Each team was given a total of three opportunities, and the team that completed the highest-level mission in the shortest time during the three attempts received the highest score.
In the first attempt, KAIST was the only team to succeed in the first stage search mission, but the competition began in earnest as the Croatian team also completed the first stage mission in the second attempt. As the competition schedule was delayed due to strong winds and high waves that continued for several days, the organizers decided to hold the finals with the three teams, including the Team KAIST and the team from Croatia’s the University of Zagreb, which completed the first stage of the mission, and Team Fly-Eagle, a team of researcher from China and UAE that partially completed the first stage. The three teams were given the chance to proceed to the finals and try for the third attempt, and in the final competition, the Croatian team won, KAIST took the second place, and the combined team of UAE-China combined team took the third place. The final prize to be given for the winning team is set at $2 million with $500,000 for the runner-up team, and $250,000 for the third-place.
Professor Jinwhan Kim of the Department of Mechanical Engineering, who served as the advisor for Team KAIST, said, “I would like to express my gratitude and congratulations to the students who put in a huge academic and physical efforts in preparing for the competition over the past two years. I feel rewarded because, regardless of the results, every bit of efforts put into this up to this point will become the base of their confidence and a valuable asset in their growth into a great researcher.” Sol Han, a doctoral student in mechanical engineering who served as the team leader, said, “I am disappointed of how narrowly we missed out on winning at the end, but I am satisfied with the significance of the output we’ve got and I am grateful to the team members who worked hard together for that.”
HD Hyundai, Rainbow Robotics, Avikus, and FIMS also participated as sponsors for Team KAIST's campaign.
2024.02.09 View 6412 -
KAIST develops an artificial muscle device that produces force 34 times its weight
- Professor IlKwon Oh’s research team in KAIST’s Department of Mechanical Engineering developed a soft fluidic switch using an ionic polymer artificial muscle that runs with ultra-low power to lift objects 34 times greater than its weight.
- Its light weight and small size make it applicable to various industrial fields such as soft electronics, smart textiles, and biomedical devices by controlling fluid flow with high precision, even in narrow spaces.
Soft robots, medical devices, and wearable devices have permeated our daily lives. KAIST researchers have developed a fluid switch using ionic polymer artificial muscles that operates at ultra-low power and produces a force 34 times greater than its weight. Fluid switches control fluid flow, causing the fluid to flow in a specific direction to invoke various movements.
KAIST (President Kwang-Hyung Lee) announced on the 4th of January that a research team under Professor IlKwon Oh from the Department of Mechanical Engineering has developed a soft fluidic switch that operates at ultra-low voltage and can be used in narrow spaces.
Artificial muscles imitate human muscles and provide flexible and natural movements compared to traditional motors, making them one of the basic elements used in soft robots, medical devices, and wearable devices. These artificial muscles create movements in response to external stimuli such as electricity, air pressure, and temperature changes, and in order to utilize artificial muscles, it is important to control these movements precisely.
Switches based on existing motors were difficult to use within limited spaces due to their rigidity and large size. In order to address these issues, the research team developed an electro-ionic soft actuator that can control fluid flow while producing large amounts of force, even in a narrow pipe, and used it as a soft fluidic switch.
< Figure 1. The separation of fluid droplets using a soft fluid switch at ultra-low voltage. >
The ionic polymer artificial muscle developed by the research team is composed of metal electrodes and ionic polymers, and it generates force and movement in response to electricity. A polysulfonated covalent organic framework (pS-COF) made by combining organic molecules on the surface of the artificial muscle electrode was used to generate an impressive amount of force relative to its weight with ultra-low power (~0.01V).
As a result, the artificial muscle, which was manufactured to be as thin as a hair with a thickness of 180 µm, produced a force more than 34 times greater than its light weight of 10 mg to initiate smooth movement. Through this, the research team was able to precisely control the direction of fluid flow with low power.
< Figure 2. The synthesis and use of pS-COF as a common electrode-electrolyte host for electroactive soft fluid switches. A) The synthesis schematic of pS-COF. B) The schematic diagram of the operating principle of the electrochemical soft switch. C) The schematic diagram of using a pS-COF-based electrochemical soft switch to control fluid flow in dynamic operation. >
Professor IlKwon Oh, who led this research, said, “The electrochemical soft fluidic switch that operate at ultra-low power can open up many possibilities in the fields of soft robots, soft electronics, and microfluidics based on fluid control.” He added, “From smart fibers to biomedical devices, this technology has the potential to be immediately put to use in a variety of industrial settings as it can be easily applied to ultra-small electronic systems in our daily lives.”
The results of this study, in which Dr. Manmatha Mahato, a research professor in the Department of Mechanical Engineering at KAIST, participated as the first author, were published in the international academic journal Science Advances on December 13, 2023. (Paper title: Polysulfonated Covalent Organic Framework as Active Electrode Host for Mobile Cation Guests in Electrochemical Soft Actuator)
This research was conducted with support from the National Research Foundation of Korea's Leader Scientist Support Project (Creative Research Group) and Future Convergence Pioneer Project.
* Paper DOI: https://www.science.org/doi/abs/10.1126/sciadv.adk9752
2024.01.11 View 6390 -
Professor Joseph J. Lim of KAIST receives the Best System Paper Award from RSS 2023, First in Korea
- Professor Joseph J. Lim from the Kim Jaechul Graduate School of AI at KAIST and his team receive an award for the most outstanding paper in the implementation of robot systems.
- Professor Lim works on AI-based perception, reasoning, and sequential decision-making to develop systems capable of intelligent decision-making, including robot learning
< Photo 1. RSS2023 Best System Paper Award Presentation >
The team of Professor Joseph J. Lim from the Kim Jaechul Graduate School of AI at KAIST has been honored with the 'Best System Paper Award' at "Robotics: Science and Systems (RSS) 2023".
The RSS conference is globally recognized as a leading event for showcasing the latest discoveries and advancements in the field of robotics. It is a venue where the greatest minds in robotics engineering and robot learning come together to share their research breakthroughs. The RSS Best System Paper Award is a prestigious honor granted to a paper that excels in presenting real-world robot system implementation and experimental results.
< Photo 2. Professor Joseph J. Lim of Kim Jaechul Graduate School of AI at KAIST >
The team led by Professor Lim, including two Master's students and an alumnus (soon to be appointed at Yonsei University), received the prestigious RSS Best System Paper Award, making it the first-ever achievement for a Korean and for a domestic institution.
< Photo 3. Certificate of the Best System Paper Award presented at RSS 2023 >
This award is especially meaningful considering the broader challenges in the field. Although recent progress in artificial intelligence and deep learning algorithms has resulted in numerous breakthroughs in robotics, most of these achievements have been confined to relatively simple and short tasks, like walking or pick-and-place. Moreover, tasks are typically performed in simulated environments rather than dealing with more complex, long-horizon real-world tasks such as factory operations or household chores. These limitations primarily stem from the considerable challenge of acquiring data required to develop and validate learning-based AI techniques, particularly in real-world complex tasks.
In light of these challenges, this paper introduced a benchmark that employs 3D printing to simplify the reproduction of furniture assembly tasks in real-world environments. Furthermore, it proposed a standard benchmark for the development and comparison of algorithms for complex and long-horizon tasks, supported by teleoperation data. Ultimately, the paper suggests a new research direction of addressing complex and long-horizon tasks and encourages diverse advancements in research by facilitating reproducible experiments in real-world environments.
Professor Lim underscored the growing potential for integrating robots into daily life, driven by an aging population and an increase in single-person households. As robots become part of everyday life, testing their performance in real-world scenarios becomes increasingly crucial. He hoped this research would serve as a cornerstone for future studies in this field.
The Master's students, Minho Heo and Doohyun Lee, from the Kim Jaechul Graduate School of AI at KAIST, also shared their aspirations to become global researchers in the domain of robot learning. Meanwhile, the alumnus of Professor Lim's research lab, Dr. Youngwoon Lee, is set to be appointed to the Graduate School of AI at Yonsei University and will continue pursuing research in robot learning.
Paper title: Furniture Bench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation. Robotics: Science and Systems.
< Image. Conceptual Summary of the 3D Printing Technology >
2023.07.31 View 5306 -
KAIST debuts “DreamWaQer” - a quadrupedal robot that can walk in the dark
- The team led by Professor Hyun Myung of the School of Electrical Engineering developed “DreamWaQ”, a deep reinforcement learning-based walking robot control technology that can walk in an atypical environment without visual and/or tactile information
- Utilization of “DreamWaQ” technology can enable mass production of various types of “DreamWaQers”
- Expected to be used in exploration of atypical environment involving unique circumstances such as disasters by fire.
A team of Korean engineering researchers has developed a quadrupedal robot technology that can climb up and down the steps and moves without falling over in uneven environments such as tree roots without the help of visual or tactile sensors even in disastrous situations in which visual confirmation is impeded due to darkness or thick smoke from the flames.
KAIST (President Kwang Hyung Lee) announced on the 29th of March that Professor Hyun Myung's research team at the Urban Robotics Lab in the School of Electrical Engineering developed a walking robot control technology that enables robust 'blind locomotion' in various atypical environments.
< (From left) Prof. Hyun Myung, Doctoral Candidates I Made Aswin Nahrendra, Byeongho Yu, and Minho Oh. In the foreground is the DreamWaQer, a quadrupedal robot equipped with DreamWaQ technology. >
The KAIST research team developed "DreamWaQ" technology, which was named so as it enables walking robots to move about even in the dark, just as a person can walk without visual help fresh out of bed and going to the bathroom in the dark. With this technology installed atop any legged robots, it will be possible to create various types of "DreamWaQers".
Existing walking robot controllers are based on kinematics and/or dynamics models. This is expressed as a model-based control method. In particular, on atypical environments like the open, uneven fields, it is necessary to obtain the feature information of the terrain more quickly in order to maintain stability as it walks. However, it has been shown to depend heavily on the cognitive ability to survey the surrounding environment.
In contrast, the controller developed by Professor Hyun Myung's research team based on deep reinforcement learning (RL) methods can quickly calculate appropriate control commands for each motor of the walking robot through data of various environments obtained from the simulator. Whereas the existing controllers that learned from simulations required a separate re-orchestration to make it work with an actual robot, this controller developed by the research team is expected to be easily applied to various walking robots because it does not require an additional tuning process.
DreamWaQ, the controller developed by the research team, is largely composed of a context estimation network that estimates the ground and robot information and a policy network that computes control commands. The context-aided estimator network estimates the ground information implicitly and the robot’s status explicitly through inertial information and joint information. This information is fed into the policy network to be used to generate optimal control commands. Both networks are learned together in the simulation.
While the context-aided estimator network is learned through supervised learning, the policy network is learned through an actor-critic architecture, a deep RL methodology. The actor network can only implicitly infer surrounding terrain information. In the simulation, the surrounding terrain information is known, and the critic, or the value network, that has the exact terrain information evaluates the policy of the actor network.
This whole learning process takes only about an hour in a GPU-enabled PC, and the actual robot is equipped with only the network of learned actors. Without looking at the surrounding terrain, it goes through the process of imagining which environment is similar to one of the various environments learned in the simulation using only the inertial sensor (IMU) inside the robot and the measurement of joint angles. If it suddenly encounters an offset, such as a staircase, it will not know until its foot touches the step, but it will quickly draw up terrain information the moment its foot touches the surface. Then the control command suitable for the estimated terrain information is transmitted to each motor, enabling rapidly adapted walking.
The DreamWaQer robot walked not only in the laboratory environment, but also in an outdoor environment around the campus with many curbs and speed bumps, and over a field with many tree roots and gravel, demonstrating its abilities by overcoming a staircase with a difference of a height that is two-thirds of its body. In addition, regardless of the environment, the research team confirmed that it was capable of stable walking ranging from a slow speed of 0.3 m/s to a rather fast speed of 1.0 m/s.
The results of this study were produced by a student in doctorate course, I Made Aswin Nahrendra, as the first author, and his colleague Byeongho Yu as a co-author. It has been accepted to be presented at the upcoming IEEE International Conference on Robotics and Automation (ICRA) scheduled to be held in London at the end of May. (Paper title: DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning)
The videos of the walking robot DreamWaQer equipped with the developed DreamWaQ can be found at the address below.
Main Introduction: https://youtu.be/JC1_bnTxPiQ Experiment Sketches: https://youtu.be/mhUUZVbeDA0
Meanwhile, this research was carried out with the support from the Robot Industry Core Technology Development Program of the Ministry of Trade, Industry and Energy (MOTIE). (Task title: Development of Mobile Intelligence SW for Autonomous Navigation of Legged Robots in Dynamic and Atypical Environments for Real Application)
< Figure 1. Overview of DreamWaQ, a controller developed by this research team. This network consists of an estimator network that learns implicit and explicit estimates together, a policy network that acts as a controller, and a value network that provides guides to the policies during training. When implemented in a real robot, only the estimator and policy network are used. Both networks run in less than 1 ms on the robot's on-board computer. >
< Figure 2. Since the estimator can implicitly estimate the ground information as the foot touches the surface, it is possible to adapt quickly to rapidly changing ground conditions. >
< Figure 3. Results showing that even a small walking robot was able to overcome steps with height differences of about 20cm. >
2023.05.18 View 6544 -
KAIST’s Robo-Dog “RaiBo” runs through the sandy beach
KAIST (President Kwang Hyung Lee) announced on the 25th that a research team led by Professor Jemin Hwangbo of the Department of Mechanical Engineering developed a quadrupedal robot control technology that can walk robustly with agility even in deformable terrain such as sandy beach.
< Photo. RAI Lab Team with Professor Hwangbo in the middle of the back row. >
Professor Hwangbo's research team developed a technology to model the force received by a walking robot on the ground made of granular materials such as sand and simulate it via a quadrupedal robot. Also, the team worked on an artificial neural network structure which is suitable in making real-time decisions needed in adapting to various types of ground without prior information while walking at the same time and applied it on to reinforcement learning. The trained neural network controller is expected to expand the scope of application of quadrupedal walking robots by proving its robustness in changing terrain, such as the ability to move in high-speed even on a sandy beach and walk and turn on soft grounds like an air mattress without losing balance.
This research, with Ph.D. Student Soo-Young Choi of KAIST Department of Mechanical Engineering as the first author, was published in January in the “Science Robotics”. (Paper title: Learning quadrupedal locomotion on deformable terrain).
Reinforcement learning is an AI learning method used to create a machine that collects data on the results of various actions in an arbitrary situation and utilizes that set of data to perform a task. Because the amount of data required for reinforcement learning is so vast, a method of collecting data through simulations that approximates physical phenomena in the real environment is widely used.
In particular, learning-based controllers in the field of walking robots have been applied to real environments after learning through data collected in simulations to successfully perform walking controls in various terrains.
However, since the performance of the learning-based controller rapidly decreases when the actual environment has any discrepancy from the learned simulation environment, it is important to implement an environment similar to the real one in the data collection stage. Therefore, in order to create a learning-based controller that can maintain balance in a deforming terrain, the simulator must provide a similar contact experience.
The research team defined a contact model that predicted the force generated upon contact from the motion dynamics of a walking body based on a ground reaction force model that considered the additional mass effect of granular media defined in previous studies.
Furthermore, by calculating the force generated from one or several contacts at each time step, the deforming terrain was efficiently simulated.
The research team also introduced an artificial neural network structure that implicitly predicts ground characteristics by using a recurrent neural network that analyzes time-series data from the robot's sensors.
The learned controller was mounted on the robot 'RaiBo', which was built hands-on by the research team to show high-speed walking of up to 3.03 m/s on a sandy beach where the robot's feet were completely submerged in the sand. Even when applied to harder grounds, such as grassy fields, and a running track, it was able to run stably by adapting to the characteristics of the ground without any additional programming or revision to the controlling algorithm.
In addition, it rotated with stability at 1.54 rad/s (approximately 90° per second) on an air mattress and demonstrated its quick adaptability even in the situation in which the terrain suddenly turned soft.
The research team demonstrated the importance of providing a suitable contact experience during the learning process by comparison with a controller that assumed the ground to be rigid, and proved that the proposed recurrent neural network modifies the controller's walking method according to the ground properties.
The simulation and learning methodology developed by the research team is expected to contribute to robots performing practical tasks as it expands the range of terrains that various walking robots can operate on.
The first author, Suyoung Choi, said, “It has been shown that providing a learning-based controller with a close contact experience with real deforming ground is essential for application to deforming terrain.” He went on to add that “The proposed controller can be used without prior information on the terrain, so it can be applied to various robot walking studies.”
This research was carried out with the support of the Samsung Research Funding & Incubation Center of Samsung Electronics.
< Figure 1. Adaptability of the proposed controller to various ground environments. The controller learned from a wide range of randomized granular media simulations showed adaptability to various natural and artificial terrains, and demonstrated high-speed walking ability and energy efficiency. >
< Figure 2. Contact model definition for simulation of granular substrates. The research team used a model that considered the additional mass effect for the vertical force and a Coulomb friction model for the horizontal direction while approximating the contact with the granular medium as occurring at a point. Furthermore, a model that simulates the ground resistance that can occur on the side of the foot was introduced and used for simulation. >
2023.01.26 View 11493 -
Team USRG’s Winning Streak Continues at the AI Grand Challenge
Team USRG (Unmanned Systems Research Group) led by Professor Hyunchul Shim from the School of Electrical Engineering has won the AI Grand Challenge 2020 held on Nov. 23 at Kintex in Ilsan, Kyonggi-do for the second consecutive year. The team received 7.7 million KRW in research funding from the Ministry of Science and ICT, the organizer of the challenge.
The team took a little over two minutes to complete the rescue operation mission of the challenge. The mission included swerving around seven obstacles, airdropping an aid package, and safely landing after identifying the landing spot. Their drone is the only one that successfully passed through a 10-meter tunnel out of five pre-qualified teams: three from universities and two from companies.
The AI Grand Challenge, which began in 2017, was designed to promote AI technology and its applications for addressing high-risk technical challenges, especially for conducting complex disaster relief operations.
For autonomous flying drones, swerving to avoid objects has always been an essential skill and a big challenge. For their flawless performance in the rescue operation, the team loaded an AI algorithm and upgraded their drone by improving the LiDAR-based localization system and a stronger propulsion system to carry more sensors. The drone weighs 2.4 kg and carries a small yet powerful computer with a GPU.
This AI-powered drone can complete rescue missions more efficiently in complicated and disastrous environments by precisely comprehending where the drone should go without needing GPS. The team also designed an all-in-one prop guard and installed a gripper onto the bottom of the drone to hold the aid package securely.
“We tried hard to improve our localization system better to resolve issues we had in the previous event,” said Professor Shim. Two PhD candidates, Han-Sob Lee and Bo-Sung Kim played a critical role in developing this drone.
After their two-year winning streak, their prize money now totals 2.4 billion KRW, equivalent to the winning prize of the DARPA Challenge. As the winning team, they will collaborate with other champions at the AI track challenge to develop rescue mission technology for a more complex environment.
“The importance of AI technology is continuing to grow and the government is providing large amounts of funding for research in this field. We would like to develop very competitive technology that will work in the real world,” Professor Shim added.
His group is investigating a wide array of AI technologies applicable to unmanned vehicles including indoor flying drones, self-driving cars, delivery robots, and a tram that circles the campus.
2020.12.01 View 7386 -
‘Mole-bot’ Optimized for Underground and Space Exploration
Biomimetic drilling robot provides new insights into the development of efficient drilling technologies
Mole-bot, a drilling biomimetic robot designed by KAIST, boasts a stout scapula, a waist inclinable on all sides, and powerful forelimbs. Most of all, the powerful torque from the expandable drilling bit mimicking the chiseling ability of a mole’s front teeth highlights the best feature of the drilling robot.
The Mole-bot is expected to be used for space exploration and mining for underground resources such as coalbed methane and Rare Earth Elements (REE), which require highly advanced drilling technologies in complex environments.
The research team, led by Professor Hyun Myung from the School of Electrical Engineering, found inspiration for their drilling bot from two striking features of the African mole-rat and European mole.
“The crushing power of the African mole-rat’s teeth is so powerful that they can dig a hole with 48 times more power than their body weight. We used this characteristic for building the main excavation tool. And its expandable drill is designed not to collide with its forelimbs,” said Professor Myung.
The 25-cm wide and 84-cm long Mole-bot can excavate three times faster with six times higher directional accuracy than conventional models. The Mole-bot weighs 26 kg.
After digging, the robot removes the excavated soil and debris using its forelimbs. This embedded muscle feature, inspired by the European mole’s scapula, converts linear motion into a powerful rotational force. For directional drilling, the robot’s elongated waist changes its direction 360° like living mammals.
For exploring underground environments, the research team developed and applied new sensor systems and algorithms to identify the robot’s position and orientation using graph-based 3D Simultaneous Localization and Mapping (SLAM) technology that matches the Earth’s magnetic field sequence, which enables 3D autonomous navigation underground.
According to Market & Market’s survey, the directional drilling market in 2016 is estimated to be 83.3 billion USD and is expected to grow to 103 billion USD in 2021. The growth of the drilling market, starting with the Shale Revolution, is likely to expand into the future development of space and polar resources. As initiated by Space X recently, more attention for planetary exploration will be on the rise and its related technology and equipment market will also increase.
The Mole-bot is a huge step forward for efficient underground drilling and exploration technologies. Unlike conventional drilling processes that use environmentally unfriendly mud compounds for cleaning debris, Mole-bot can mitigate environmental destruction. The researchers said their system saves on cost and labor and does not require additional pipelines or other ancillary equipment.
“We look forward to a more efficient resource exploration with this type of drilling robot. We also hope Mole-bot will have a very positive impact on the robotics market in terms of its extensive application spectra and economic feasibility,” said Professor Myung.
This research, made in collaboration with Professor Jung-Wuk Hong and Professor Tae-Hyuk Kwon’s team in the Department of Civil and Environmental Engineering for robot structure analysis and geotechnical experiments, was supported by the Ministry of Trade, Industry and Energy’s Industrial Technology Innovation Project.
Profile
Professor Hyun Myung
Urban Robotics Lab
http://urobot.kaist.ac.kr/
School of Electrical Engineering
KAIST
2020.06.05 View 9127 -
Artificial Muscles Bloom, Dance, and Wave
Wearing a flower brooch that blooms before your eyes sounds like magic. KAIST researchers have made it real with robotic muscles.
Researchers have developed an ultrathin, artificial muscle for soft robotics. The advancement, recently reported in the journal Science Robotics, was demonstrated with a robotic blooming flower brooch, dancing robotic butterflies and fluttering tree leaves on a kinetic art piece.
The robotic equivalent of a muscle that can move is called an actuator. The actuator expands, contracts or rotates like muscle fibers using a stimulus such as electricity. Engineers around the world are striving to develop more dynamic actuators that respond quickly, can bend without breaking, and are very durable. Soft, robotic muscles could have a wide variety of applications, from wearable electronics to advanced prosthetics.
The team from KAIST’s Creative Research Initiative Center for Functionally Antagonistic Nano-Engineering developed a very thin, responsive, flexible and durable artificial muscle. The actuator looks like a skinny strip of paper about an inch long. They used a particular type of material called MXene, which is class of compounds that have layers only a few atoms thick.
Their chosen MXene material (T3C2Tx) is made of thin layers of titanium and carbon compounds. It was not flexible by itself; sheets of material would flake off the actuator when bent in a loop. That changed when the MXene was “ionically cross-linked” — connected through an ionic bond — to a synthetic polymer. The combination of materials made the actuator flexible, while still maintaining strength and conductivity, which is critical for movements driven by electricity.
Their particular combination performed better than others reported. Their actuator responded very quickly to low voltage, and lasted for more than five hours moving continuously.
To prove the tiny robotic muscle works, the team incorporated the actuator into wearable art: an origami-inspired brooch mimics how a narcissus flower unfolds its petals when a small amount of electricity is applied. They also designed robotic butterflies that move their wings up and down, and made the leaves of a tree sculpture flutter.
“Wearable robotics and kinetic art demonstrate how robotic muscles can have fun and beautiful applications,” said Il-Kwon Oh, lead paper author and professor of mechanical engineering. “It also shows the enormous potential for small, artificial muscles for a variety of uses, such as haptic feedback systems and active biomedical devices.”
The team next plans to investigate more practical applications of MXene-based soft actuators and other engineering applications of MXene 2D nanomaterials.
2019.08.22 View 23712 -
Professor Kwon to Represent the Asia-Pacific Region of the IEEE RAS
Professor Dong-Soon Kwon of the Mechanical Engineering Department at KAIST has been reappointed to the Administrative Committee of the Institute of Electrical and Electronics Engineers (IEEE) Robotics and Automation Society (IEEE RAS). Beginning January 1, 2017, he will serve his second three-year term, which will end in 2019. In 2014, he was the first Korean appointed to the committee, representing the Asia-Pacific community of the IEEE Society.
Professor Kwon said, “I feel thankful but, at the same time, it is a great responsibility to serve the Asian research community within the Society. I hope I can contribute to the development of robotics engineering in the region and in Korea as well.”
Consisted of 18 elected members, the administrative committee manages the major activities of IEEE RAS including hosting its annual flagship meeting, the International Conference on Robotics and Automation.
The IEEE RAS fosters the advancement in the theory and practice of robotics and automation engineering and facilitates the exchange of scientific and technological knowledge that supports the maintenance of high professional standards among its members.
2016.12.06 View 8002 -
KAIST's Top 10 Contributions to Korea and the World
Established in 1971, the Korea Advanced Institute of Science and Technology (KAIST) started off as a relatively modest graduate school in a few disciplines in science and technology, but has gradually expanded into a full-fledged research university over the years.
From the beginning, KAIST was intended to offer an elite science education, setting it apart from other universities in Korea. A majority of its graduates have contributed to the development of, what the world now praises, Korean industry and economy, and have led the Korean scientific community for several decades. The university has also advanced the frontiers of knowledge, conducting the lion’s share of the nation’s private research and development in basic and applied science, leading to innovations and technologies essential to the growth of today’s Korea.
As it establishes international benchmarks of success, KAIST has acquired a global reputation for delivering the highest level of science and engineering education, while performing cutting-edge research and serving as a crucial driver to generate new knowledge and innovation beneficial not only to Korea but also to the world. The university has consistently ranked in the top 100 research universities for over more than a decade, according to the world university rankings published by international ranking institutions for higher education, among others, Quacquarelli Symonds and the Times Higher Education.
KAIST will mark its 45th anniversary next year. It plans to celebrate the anniversary, and here are some of the reasons why:
KAIST’s Win at the DARPA Robotics Challenge (DRC) 2015
Team KAIST, consisted of 29 members (students and researchers) led by Professors Jun-Ho Oh of the Mechanical Engineering Department and In-So Kweon of the Electrical Engineering Department, won the international humanoid robotics competition hosted by the United States (US) Defense Advanced Research Projects Agency (DARPA). Upon completion of the first and second competitions, the finals were held on June 5-6, 2015, at the Fairplex in Pomona, California. DARPA hosted the event to spur the development of humanoid robots to assist rescue and relief efforts in dangerous environments such as the Fukushima Daiichi nuclear incident in 2011. With 24 international teams participating in the finals from the US, Japan, Germany, China, Italy, and Korea, Team KAIST’s humanoid robot, DRC-HUBO, completed all eight tasks in 44 minutes and 28 seconds, six minutes earlier than the runner-up, and almost eleven minutes earlier than the third-place team, walking away with the grand prize of USD 2 million.
Hitting a Grand Slam to Win Major International Design Awards
Professor Sang-Min Bae of the Industrial Design Department achieved a grand slam in international design awards with his work HEARTea, an interactive tumbler, winning four major design competitions in the world: the iF Design Award, the International Design Excellence Awards, the Red Dot Design Award, and the Good Design Award. Released in 2010, HEARTea swept prizes from the four awards which were held during the period of the year 2010-2011. The tumbler displays the temperature of liquid contained inside in three degrees (cool, warm, and hot) by showing different colored lights on the surface of the tumbler based on the liquid temperature (see picture below). In 2015, Professor Bae and his research team won three awards from the 2015 Red Dot Design Award: the Best of the Best Award and two Red Dot Design Concept Awards. The team received the Best of the Best Award, the most prestigious award among the Red Dot Design awards, for Boxchool, a modular classroom built on shipping containers, which offers underprivileged children better opportunities for learning. With greater mobility, Boxchool can be easily installed in any setting, including remote areas where children do not have access to regular school facilities.
Glass Fabric Thermoelectric Generator, the Grand Prize Winner at the Netexplo Forum 2015
Professor Byung-Jin Cho of the Electrical Engineering Department received the grand prize at the Netexplo Forum 2015 held in partnership with the United Nations Educational, Scientific, and Cultural Organization (UNESCO) on February 4-5, 2015, at the UNESCO House in Paris. Established in 2007, the Netexplo Forum is an annual international conference hosted by the Netexplo Observatory, a non-profit organization sponsored by the French Senate and the French Ministry for the Digital Economy, which studies the impact of digital technology on society and business. Each year, the Netexplo Forum highlights major trends in digital technology and innovation worldwide and lists the top ten most promising technologies that it considers will greatly impact the world. Among the list for this year, Professor Cho’s glass fabric-based thermoelectric (TE) generator received the grand prize. Using a screen-printing technique, Professor Cho printed TE liquid materials onto a glass fabric to generate electricity through the thermoelectric effect, that is, by generating electricity from temperature difference. Since the glass fabric is light and flexible, this technology is expected to have a wide range of applications in wearable computers and devices.
Charging on the Go: Online Electric Vehicle System
KAIST’s Online Electric Vehicle (OLEV) is a system that charges electric vehicles while stationary or driving, thus removing the need to stop for charges. Developed by Professor Dong-Ho Cho of the Electrical Engineering Department and his research team, OLEV receives power wirelessly through a new application called “Shaped Magnetic Field in Resonance technology (SMFIR).” Electrical cables buried underneath roads create magnetic fields, and a receiving device installed underneath the electric vehicle collects the fields and converts them into electricity. Time, a US weekly magazine, listed OLEV as one of the 50 Greatest Inventions of the Year 2010 in its November 22nd issue. Since 2012, several OLEV buses have been operating daily to provide citizens with transportation in cities such as Yeosu, Gumi, and Sejong in Korea. In April 2015, Professor Cho signed a memorandum of understanding with the city government of Medellín, the second largest city in Colombia, to provide two OLEV buses for inner-city transportation services. The research team also developed OLEV for a high capacity transit system including trams and high-speed trains, successfully showcasing 60 kHz of power transferred wirelessly to trams and trains in 2013 and 2014, respectively.
Pioneer in the Development of Functional Mesoporous Materials and Zeolites
On September 25, 2014, Thomson Reuters announced the “2014 Citation Laureates,” a list of candidates considered likely to win the Nobel Prize in the fields of physics, chemistry, physiology or medicine, and economics. Distinguished Professor Ryong Ryoo of the Department of Chemistry was named the 2014 Thomson Reuters Citation Laureates in Chemistry in recognition of his significant contribution to the advancement of designing functional mesoporous materials. He is the first Korean scientist to make the list. Professor Ryoo has pioneered the field of functional mesoporous materials and zeolites which are widely used as catalysts and sorbents. In 1999, he developed a nanocasting method, and with the technique, was able to synthesize ordered mesoporous carbon materials, for the first time in the world. Today, ordered mesoporous carbon materials have widespread applications in many areas such as adsorbents, catalysts and supports, gas-storage hosts, and electrode materials. Since 2006, using zeolite frameworks, Professor Ryoo has led the development of new methods to synthesize mesoporous materials whose molecules are designed to have a hierarchical structure of microspores and mesopores. He has published 255 research papers in renowned academic journals including Nature and Science. In December 2011, Science highlighted his research as one of the top ten breakthroughs in the year of 2011 in an article entitled “Directing Zeolite Structures into Hierarchically Nanoporous Architectures.” Professor Ryoo received numerous awards and honors including the World’s Top 100 Chemists over the Past 11 Years (2000-2010) by UNESCO and IUPAC (International Union of Pure and Applied Chemistry), the Breck Award by International Zeolite Association, and the Ho-Am prize in Science.
The Launch of Korea’s First Satellites into Space
Founded in 1989, the Satellite Technology Research Center (SaTReC) at KAIST has led the development of a series of Korean-made satellites over the past 26 years. The first satellite, the Korea Institute of Technology Satellite-1 (KITSAT-1), was launched on August 11, 1992, at the Guiana Space Center in Kourou, French Guiana. KITSAT-1 was designed in collaboration with a British university, the University of Surrey in Guildford. The success of KITSAT-1 sparked nation-wide interest in the development of space technology and led to the subsequent launches of 18 satellites and three carrier rockets such as KITSAT-2 and 3 (meteorological satellites); KSR-1, 2, and 3 (carrier rockets); KOREASAT-1, 2, 3, 5, and 6 (communication satellites); KOMPSAT-1, 2, 3, and 5 (multipurpose satellites); STSAT-1, 2C, and 3 (scientific satellites); and COMS-1 (navigation satellite). The latest scientific satellite, STSAT-3, and an earth observation satellite, KOMPSAT-3A, were launched in 2013 and 2015, respectively. The STSAT-2C, exclusively developed by SaTReC, was launched in January 2013 and transmitted data on the observation of space environments to the ground station located on KAIST’s campus for 14 months. The STSAT-2C was the first satellite developed solely with Korean technology. On June 30, 2009, the Korean government also established a spaceport in South Jeolla’s Goheung County, the Naro Space Center to launch satellites and spacecraft.
KAIST: Major Feeder for Startups in Korea
As seen in its core values of promoting creativity and a challenging spirit, KAIST has always encouraged startups and technology transfers led by university members including students and faculty. In the past four years from 2011 to 2014, students and faculty members have created 104 startups based on technology innovation and research outcomes, with an average of 26 new companies started per year. This is the highest number of university-led startups in Korea. As of 2013, KAIST graduates founded a total of 1,245 companies, generating approximately USD 1.5 billion sales and creating 34,000 jobs. KAIST has provided a variety of programs and facilities to build a startup-friendly campus culture and support student- and faculty-led entrepreneurship, for example, the End-Run Policy, Startup KAIST Studio, the Institute of Startup and Entrepreneurship, and the Startup Incubation Center. In particular, KAIST Idea Factory, a startup laboratory established last year, where students play around with ideas by conducting new experiments or building test products, created 3-D printers this year, producing 20 prototypes and filing four pending patents. Recently, KAIST has registered four proprietary standard patents with MPEG (Moving Picture Experts Group)-LA’s HEVC (High Efficiency Video Coding) Patent Portfolio License, which provides access to essential patent rights for the HEVC digital video coding standard. KAIST expects to acquire more than 50 proprietary standard patents within two years, generating close to UDS 1 million in income.
The Number of KAIST Doctoral Graduates Reaches Over 10,000
Since the establishment of KAIST forty-four years ago, more than ten thousand alumni have received their doctorates. The university’s 2015 Commencement ceremony took place on February 13, 2015, at the Sports Complex on campus, awarding Dr. Sun-Mi Cho of the Department of Biological Sciences the 10,000th doctoral degree. She also received her Bachelor’s and Master’s degrees from KAIST. In 1978, KAIST had only two doctoral graduates, but since 1987, there have been more than one hundred graduates each year, two hundred since 1994, and four hundred since 2000. In 2015 alone, 522 doctoral students graduated. One of the first doctoral graduates, Dr. Dong-Yol Yang (Class of 1978 in the Mechanical Engineering Department) became a professor in the same department of KAIST. In the early 1970s, many Koreans preferred to go abroad for Ph.D. degrees, but this changed when KAIST began to select candidates for master’s degrees in 1973, and doctoral degrees in 1975. Talented Korean students began to work in KAIST laboratories, and its graduates were known for their knowledge and skills. Now, KAIST receives many applications from talented foreign students as well. At the 2015 Commencement, KAIST conferred 522 Doctoral, 1,241 Master’s, and 915 Bachelor of Science degrees. Since its inception in 1971, KAIST has granted 10,403 doctoral degrees, 26,402 master’s degrees, and 51,412 bachelor’s degrees.
Fostering a New Learning Model: The Education 3.0 Program
KAIST undertook a bold initiative to improve its education system that would address more effectively the needs of today’s higher education to foster talents with creative and critical thinking skills. It introduced a new pedagogical model, the Education 3.0 program, to the campus in the spring of 2012, which was then an extremely rare movement taken by universities around the world. The Education 3.0 program incorporates flipped learning and smart classrooms. This means there are no formal lectures while in-class time is devoted to problem solving, exercises, projects, or discussions. The program provided students with greater opportunity to control their learning and interact more with professors and peers. Originally started with three general courses in physics, chemistry, and biology, the Education 3.0 is now offered in 50-60 courses per semester. In 2013 alone, approximately 2,000 KAIST students took the Education 3.0 courses. The university has also developed and implemented an e-Learning system to provide online courses, as well as participated in the Massive Open Online Course (MOOC). Partnering with Coursera since 2013, KAIST has offered three MOOCs in engineering and business management to the global community. Leading the efforts to create Korean MOOCs (K-MOOCs), KAIST agreed with other Korean universities in October 2015 to create online courses in basic subjects of physics, chemistry, mathematics, life science, mechanical engineering, and material science. K-MOOCs will be available in the summer of 2016.
Holistic Admissions for Undergraduates
Korean universities traditionally put an emphasis on students’ empirical data such as a GPA or the national College Scholastic Ability Test (CSAT) when reviewing applicants for the undergraduate admission. This practice, however, has posed serious challenges, most notably with CSAT’s requirement that the test takes place only once a year. It was simply impossible and unfair to assess students’ capability from the scores of a high-pressure, high-stakes standardized test. In 2009, KAIST changed its undergraduate admission process to consider the whole applicant’s profile, not just looking for students with good grades, but interesting and promising students who would contribute to the campus community in different and diverse ways. KAIST’s admissions officers have taken into account applicants’ interests, passions, special talents, and personality through their personal essays, recommendation letters, extracurricular activities, and intensive interviews. Prior to KAIST’s new policy, no other university in the nation had ever incorporated such a holistic approach to review student applications. Today, most Korean universities have adopted this admission policy. In addition, for the first time in Korea, KAIST offered all freshmen the option to defer the decision on majors, thereby allowing them to explore their interests more freely. Even after declaring majors as sophomores and higher classes, KAIST students can easily change their majors, and undergraduate students can actually create and lead their own research projects. As such, KAIST has continued to offer innovations to provide students with a quality education to foster their potential.
2015.11.27 View 16152 -
International Undergraduate Conference ICISTS-KAIST 2015 and ICISTS-KAIST Public Colloquium Held on August 3, 2015 at KAIST
The ICISTS-KAIST 2015, an international conference organized by a student organization called the International Conference for the Integration of Science, Technology, and Society at KAIST, was held from August 3rd to 7th at the KAIST campus and ICC Hotel in Daejeon. This year’s conference theme was “Shaping the Future.” Over 300 undergraduate students from more than 20 countries joined the event. The conference offered opportunities to explore emerging issues in science and technology, particularly in the fields of robotics, medicine, and science communication.
Vitalic Buterin, a rising scientist who received the 2014 World Technology Award for his development of the Ethereum Project, and Alan Irwin, a renowned scholar in science communication at the Copenhagen Business School in Denmark, were invited as keynote speakers. The list of other speakers included Stefan Lorenz Sorgner, the Director and Co-founder of the Beyond Humanism Network; Wendell Wallach, a scholar at Yale University's Interdisciplinary Center for Bioethics; and Hideto Nakajima, a professor at the Department of History, Philosophy and Social Studies of Science and Technology at Tokyo Institute of Technology.
As part of the ICISTS-KAIST 2015, ICISTS also hosted a public colloquium on August 5, 2015 at the Science Hall in Daejeon National Science Museum. Ko San, the Director of TIDE Institute; Hyo-Joon Woo, the Chief Executive Officer of Fransen; and Dong-Il Jung, the Chief Executive Officer of iDrone participated as the speakers.
2015.07.29 View 6658 -
KAIST Undergraduates Organize the Largest Interdisciplinary Conference in Asia
The largest interdisciplinary conference in Asia hosted by KAIST undergraduates for students around the world will be held in KAIST. The organizing committee of International Conference for the Integration of Science, Technology and Society (ICISTS) will hold the ICISTS-KAIST 2015 in KAIST and Hotel ICC from August 3-7, 2015, with around 300 Korean and international participants.
ICISTS-KAIST was established in 2005 to provide an annual platform for students to discuss the integration and the convergence of science, technology and society, regardless of their academic background.
This year’s theme is "Shaping the Future" and the topics for the conference are robotics, medicine, and science communication.
The keynote speakers are Vitalic Buterin, the winner of the World Technology Award in 2014 for the co-creation and invention of Ethereum and Alan Irwin, a well-known scholar of science, technology and society as well as the Dean of Research at the Copenhagen Business School in Denmark.
Other notable speakers include Adam Marcus, a professor of Hematology and Medical Oncology, Emory University School of Medicine; Stefan Lorenz Sorgner, the Director and co-founder of Beyond Humanism Network; Hideto Nakajima, a professor in the Department of History, Philosophy and Social Studies of Science and Technology at Tokyo Institute of Technology; Wendell Wallach, a lecturer at the Yale University Interdisciplinary Center for Bioethics; Jinil Lee, a professor in the Division of Biological Science and Technology at Yonsei University; and Sangwook Kim, an editor of APCTP web journal Crossroads and a professor in the Department of Physics Education, Pusan National University.
Last year, more than 300 students from 50 different countries attended the ICISTS-KAIST 2014 as delegates to exchange their thoughts and ideas on science, technology, and society.
To register for the event, please visit www.icists.org.
2015.07.14 View 7147