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Mobility 2025 Technology Demonstration Day Held... Commercialization Achievements Unveiled
< Kitae Jang, Director of Mobility Research Institute, Hyeong-sik Jeon, Vice Governor for Political Affairs of South Chungcheong Province and demonstration officials >
KAIST's e announced on the September 23rd that it held the "2025 Technology Demonstration Day" at the Naepo Knowledge Industry Center in Chungcheongnam-do to showcase successful cases of its research findings being adopted by the industry. The event was organized to present the process of commercializing KAIST's accumulated mobility research achievements through collaboration with companies.
The KAIST Mobility Research Institute aims to solve our society's mobility problems by conducting industry-academia research in various technology fields, including autonomous driving, Urban Air Mobility (UAM/UAV), eco-friendly mobility technologies, as well as artificial intelligence (AI) and energy. This demonstration was the result of a project linked to a consignment from Chungcheongnam-do, and it showed a practical example of research achievements connecting with the local industry.
At the demonstration, achievements that have entered the commercialization stage were presented with collaborating companies, including faculty startups FutureEV Co., Ltd. (CEO: Kim Kyung-soo), Dochak Co., Ltd. (CEO: Kim In-hee), and alumnus startup NOTA Co., Ltd. (CEO: Chae Myung-soo). The six core technologies unveiled were: △Mobile Energy Storage System (ESS) Power Platform △Naepo Digital Twin △Autonomous Driving Robots Specialized for SMEs △Remote-Driving Valet Parking △Autonomous Driving Testbed △AI Computing Center.
< Image of the remote-controlled autonomous vehicle developed by Professor In-hee Kim >
The "Mobile Energy Storage System (ESS) Power Platform" is a technology led by Professor Lee Yoon-gu and co-developed with FutureEV Co., Ltd., ECOCAB Co., Ltd., Hanyang Electric Co., Ltd., and Uptech Co., Ltd. It's a solution that can establish a stable power grid in areas with difficult power supply, such as disaster sites or islands, proving its commercial potential in the eco-friendly power sector.
The "Naepo Digital Twin" was commercialized by a research team led by Senior Researcher Kim Tae-kyun in collaboration with Dochak Co., Ltd. It can simulate real-world city and traffic conditions in a 3D virtual environment for traffic monitoring, situation prediction, disaster response, and policy verification. It's gaining attention as a core technology for building smart cities.
The "Autonomous Driving Robots Specialized for SMEs" was developed by research teams led by Professors Kim Kyung-soo and Choi Geun-ha in collaboration with L-Line Co., Ltd. and Torrent Systems Co., Ltd. This autonomous logistics robot, optimized for the logistics environment of small and medium-sized enterprises, demonstrated precise movement and stacking of logistics racks inside a factory at the event, confirming the potential for innovation in the SME manufacturing sector.
The "Remote-Driving Valet Parking Technology" is being commercialized by Professor Kim In-hee in collaboration with Dochak Co., Ltd., Torrent Systems Co., Ltd., E-motion Co., Ltd., and the National Science and Technology Research Network KREONET (operated by the Korea Institute of Science and Technology Information). During the demonstration, a vehicle remotely controlled from Daejeon traveled to the Naepo Research Institute and completed parking at its destination, proving the stability and practicality of remote autonomous driving.
< Image of the KAIST Mobility Research Institute Technology Demonstration Day poster >
The "Autonomous Driving Testbed" is a platform built by Professors Ahn Hee-jin and Noh Min-kyun. It's an example of expanding research achievements in reduced-scale vehicle-based autonomous driving into a platform for education and industrial verification. The KAIST Mobility Research Institute plans to use this as a foundation for the "2025 KAIST Mobility Challenge Competition" next year to simultaneously foster next-generation talent and promote technology commercialization.
The "AI Computing Center" was unveiled by NOTA Co., Ltd., which is soon to be listed on KOSDAQ. The company introduced its RE100-based power system and AI optimization technology and presented its vision for collaboration with tenant companies, stating its goal to contribute to the expansion of the AI ecosystem.
Kitae Jang, Director of the KAIST Mobility Research Institute, stated, "This demonstration was an opportunity to show the concrete process of KAIST's research achievements being adopted by the industry." He added, "We will continue to lead the commercialization of future mobility and AI technologies and the development of local industries through close collaboration with local governments and companies."
KAIST President Kwang Hyung Lee emphasized, "KAIST's mission is to contribute to the nation and local communities through technological innovation. We find it meaningful to see our research achievements creating real change in the industry and will continue to lead global mobility innovation and the creation of new value through collaboration with companies and local governments."
2025.09.24 View 1376 -
Professor Hyun Myung's Team Wins First Place in a Challenge at ICRA by IEEE
< Photo 1. (From left) Daebeom Kim (Team Leader, Ph.D. student), Seungjae Lee (Ph.D. student), Seoyeon Jang (Ph.D. student), Jei Kong (Master's student), Professor Hyun Myung >
A team of the Urban Robotics Lab, led by Professor Hyun Myung from the KAIST School of Electrical Engineering, achieved a remarkable first-place overall victory in the Nothing Stands Still Challenge (NSS Challenge) 2025, held at the 2025 IEEE International Conference on Robotics and Automation (ICRA), the world's most prestigious robotics conference, from May 19 to 23 in Atlanta, USA.
The NSS Challenge was co-hosted by HILTI, a global construction company based in Liechtenstein, and Stanford University's Gradient Spaces Group. It is an expanded version of the HILTI SLAM (Simultaneous Localization and Mapping)* Challenge, which has been held since 2021, and is considered one of the most prominent challenges at 2025 IEEE ICRA.*SLAM: Refers to Simultaneous Localization and Mapping, a technology where robots, drones, autonomous vehicles, etc., determine their own position and simultaneously create a map of their surroundings.
< Photo 2. A scene from the oral presentation on the winning team's technology (Speakers: Seungjae Lee and Seoyeon Jang, Ph.D. candidates of KAIST School of Electrical Engineering) >
This challenge primarily evaluates how accurately and robustly LiDAR scan data, collected at various times, can be registered in situations with frequent structural changes, such as construction and industrial environments. In particular, it is regarded as a highly technical competition because it deals with multi-session localization and mapping (Multi-session SLAM) technology that responds to structural changes occurring over multiple timeframes, rather than just single-point registration accuracy.
The Urban Robotics Lab team secured first place overall, surpassing National Taiwan University (3rd place) and Northwestern Polytechnical University of China (2nd place) by a significant margin, with their unique localization and mapping technology that solves the problem of registering LiDAR data collected across multiple times and spaces. The winning team will be awarded a prize of $4,000.
< Figure 1. Example of Multiway-Registration for Registering Multiple Scans >
The Urban Robotics Lab team independently developed a multiway-registration framework that can robustly register multiple scans even without prior connection information. This framework consists of an algorithm for summarizing feature points within scans and finding correspondences (CubicFeat), an algorithm for performing global registration based on the found correspondences (Quatro), and an algorithm for refining results based on change detection (Chamelion). This combination of technologies ensures stable registration performance based on fixed structures, even in highly dynamic industrial environments.
< Figure 2. Example of Change Detection Using the Chamelion Algorithm>
LiDAR scan registration technology is a core component of SLAM (Simultaneous Localization And Mapping) in various autonomous systems such as autonomous vehicles, autonomous robots, autonomous walking systems, and autonomous flying vehicles.
Professor Hyun Myung of the School of Electrical Engineering stated, "This award-winning technology is evaluated as a case that simultaneously proves both academic value and industrial applicability by maximizing the performance of precisely estimating the relative positions between different scans even in complex environments. I am grateful to the students who challenged themselves and never gave up, even when many teams abandoned due to the high difficulty."
< Figure 3. Competition Result Board, Lower RMSE (Root Mean Squared Error) Indicates Higher Score (Unit: meters)>
The Urban Robotics Lab team first participated in the SLAM Challenge in 2022, winning second place among academic teams, and in 2023, they secured first place overall in the LiDAR category and first place among academic teams in the vision category.
2025.05.30 View 11534 -
KAIST to begin Joint Research to Develop Next-Generation LiDAR System with Hyundai Motor Group
< (From left) Jong-Soo Lee, Executive Vice President at Hyundai Motor, Sang-Yup Lee, Senior Vice President for Research at KAIST >
The ‘Hyundai Motor Group-KAIST On-Chip LiDAR Joint Research Lab’ was opened at KAIST’s main campus in Daejeon to develop LiDAR sensors for advanced autonomous vehicles.
The joint research lab aims to develop high-performance and compact on-chip sensors and new signal detection technology, which are essential in the increasingly competitive autonomous driving market. On-chip sensors, which utilize semiconductor manufacturing technology to add various functions, can reduce the size of LiDAR systems compared to conventional methods and secure price competitiveness through mass production using semiconductor fabrication processes.
The joint research lab will consist of about 30 researchers, including the Hyundai-Kia Institute of Advanced Technology Development research team and KAIST professors Sanghyeon Kim, Sangsik Kim, Wanyeong Jung, and Hamza Kurt from KAIST’s School of Electrical Engineering, and will operate for four years until 2028.
KAIST will be leading the specialized work of each research team, such as for the development of silicon optoelectronic on-chip LiDAR components, the fabrication of high-speed, high-power integrated circuits to run the LiDAR systems, and the optimization and verification of LiDAR systems.
Hyundai Motor and Kia, together with Hyundai NGV, a specialized industry-academia cooperation institution, will oversee the operation of the joint research lab and provide support such as monitoring technological trends, suggesting research directions, deriving core ideas, and recommending technologies and experts to enhance research capabilities.
A Hyundai Motor Group official said, "We believe that this cooperation between Hyundai Motor Company and Kia, the leader in autonomous driving technology, and KAIST, the home of world-class technology, will hasten the achievement of fully autonomous driving." He added, "We will do our best to enable the lab to produce tangible results.”
Professor Sanghyeon Kim said, "The LiDAR sensor, which serves as the eyes of a car, is a core technology for future autonomous vehicle development that is essential for automobile companies to internalize."
2024.02.27 View 18171 -
KAIST to showcase a pack of KAIST Start-ups at CES 2023
- KAIST is to run an Exclusive Booth at the Venetian Expo (Hall G) in Eureka Park, at CES 2023, to be held in Las Vegas from Thursday, January 5th through Sunday, the 8th.
- Twelve businesses recently put together by KAIST faculty, alumni, and the start-ups given legal usage of KAIST technologies will be showcased.
- Out of the participating start-ups, the products by Fluiz and Hills Robotics were selected as the “CES Innovation Award 2023 Honoree”, scoring top in their respective categories.
On January 3, KAIST announced that there will be a KAIST booth at Consumer Electronics Show (CES) 2023, the most influential tech event in the world, to be held in Las Vegas from January 3 to 8.
At this exclusive corner, KAIST will introduce the technologies of KAIST start-ups over the exhibition period.
KAIST first started holding its exclusive booth in CES 2019 with five start-up businesses, following up at CES 2020 with 12 start-ups and at CES 2022 with 10 start-ups. At CES 2023, which would be KAIST’s fourth conference, KAIST will be accompanying 12 businesses including start-ups by the faculty members, alumni, and technology transfer companies that just began their businesses with technologies from their research findings that stands a head above others.
To maximize the publicity opportunity, KAIST will support each company’s marketing strategies through cooperation with the Korea International Trade Association (KITA), and provide an opportunity for the school and each startup to create global identity and exhibit the excellence of their technologies at the convention.
The following companies will be at the KAIST Booth in Eureka Park:
The twelve startups mentioned above aim to achieve global technology commecialization in their respective fields of expertise spanning from eXtended Reality (XR) and gaming, to AI and robotics, vehicle and transport, mobile platform, smart city, autonomous driving, healthcare, internet of thing (IoT), through joint research and development, technology transfer and investment attraction from world’s leading institutions and enterprises.
In particular, Fluiz and Hills Robotics won the CES Innovation Award as 2023 Honorees and is expected to attain greater achievements in the future.
A staff member from the KAIST Institute of Technology Value Creation said, “The KAIST Showcase for CES 2023 has prepared a new pitching space for each of the companies for their own IR efforts, and we hope that KAIST startups will actively and effectively market their products and technologies while they are at the convention. We hope it will help them utilize their time here to establish their name in presence here which will eventually serve as a good foothold for them and their predecessors to further global commercialization goals.”
2023.01.04 View 27470 -
Team KAIST to Race at CES 2022 Autonomous Challenge
Five top university autonomous racing teams will compete in a head-to-head passing competition in Las Vegas
A self-driving racing team from the KAIST Unmanned System Research Group (USRG) advised by Professor Hyunchul Shim will compete at the Autonomous Challenge at the Consumer Electronic Show (CES) on January 7, 2022. The head-to-head, high speed autonomous racecar passing competition at the Las Vegas Motor Speedway will feature the finalists and semifinalists from the Indy Autonomous Challenge in October of this year. Team KAIST qualified as a semifinalist at the Indy Autonomous Challenge and will join four other university teams including the winner of the competition, Technische Universität München.
Team KAIST’s AV-21 vehicle is capable of driving on its own at more than 200km/h will be expected to show a speed of more than 300 km/h at the race.The participating teams are:1. KAIST2. EuroRacing : University of Modena and Reggio Emilia (Italy), University of Pisa (Italy), ETH Zürich (Switzerland), Polish Academy of Sciences (Poland) 3. MIT-PITT-RW, Massachusetts Institute of Technology, University of Pittsburgh, Rochester Institute of Technology, University of Waterloo (Canada)4.PoliMOVE – Politecnico di Milano (Italy), University of Alabama 5.TUM Autonomous Motorsport – Technische Universität München (Germany)
Professor Shim’s team is dedicated to the development and validation of cutting edge technologies for highly autonomous vehicles. In recognition of his pioneering research in unmanned system technologies, Professor Shim was honored with the Grand Prize of the Minister of Science and ICT on December 9.
“We began autonomous vehicle research in 2009 when we signed up for Hyundai Motor Company’s Autonomous Driving Challenge. For this, we developed a complete set of in-house technologies such as low-level vehicle control, perception, localization, and decision making.” In 2019, the team came in third place in the Challenge and they finally won this year.
For years, his team has participated in many unmanned systems challenges at home and abroad, gaining recognition around the world. The team won the inaugural 2016 IROS autonomous drone racing and placed second in the 2018 IROS Autonomous Drone Racing Competition. They also competed in 2017 MBZIRC, ranking fourth in Missions 2 and 3, and fifth in the Grand Challenge.
Most recently, the team won the first round of Lockheed Martin’s Alpha Pilot AI Drone Innovation Challenge. The team is now participating in the DARPA Subterranean Challenge as a member of Team CoSTAR with NASA JPL, MIT, and Caltech.
“We have accumulated plenty of first-hand experience developing autonomous vehicles with the support of domestic companies such as Hyundai Motor Company, Samsung, LG, and NAVER. In 2017, the autonomous vehicle platform “EureCar” that we developed in-house was authorized by the Korean government to lawfully conduct autonomous driving experiment on public roads,” said Professor Shim.
The team has developed various key technologies and algorithms related to unmanned systems that can be categorized into three major components: perception, planning, and control. Considering the characteristics of the algorithms that make up each module, their technology operates using a distributed computing system.
Since 2015, the team has been actively using deep learning algorithms in the form of perception subsystems. Contextual information extracted from multi-modal sensory data gathered via cameras, lidar, radar, GPS, IMU, etc. is forwarded to the planning subsystem. The planning module is responsible for the decision making and planning required for autonomous driving such as lane change determination and trajectory planning, emergency stops, and velocity command generation. The results from the planner are fed into the controller to follow the planned high-level command. The team has also developed and verified the possibility of an end-to-end deep learning based autonomous driving approach that replaces a complex system with one single AI network.
2021.12.17 View 17740 -
KI-Robotics Wins the 2021 Hyundai Motor Autonomous Driving Challenge
Professor Hyunchul Shim’s autonomous driving team topped the challenge
KI-Robotics, a KAIST autonomous driving research team led by Professor Hyunchul Shim from the School of Electric Engineering won the 2021 Hyundai Motor Autonomous Driving Challenge held in Seoul on November 29. The KI-Robotics team received 100 million won in prize money and a field trip to the US.
Out of total 23 teams, the six teams competed in the finals by simultaneously driving through a 4km section within the test operation region, where other traffic was constrained. The challenge included avoiding and overtaking vehicles, crossing intersections, and keeping to traffic laws including traffic lights, lanes, speed limit, and school zones. The contestants were ranked by their order of course completion, but points were deducted every time they violated a traffic rule. A driver and an invigilator rode in each car in case of an emergency, and the race was broadcasted live on a large screen on stage and via YouTube.
In the first round, KI-Robotics came in first with a score of 11 minutes and 27 seconds after a tight race with Incheon University. Although the team’s result in the second round exceeded 16 minutes due to traffic conditions like traffic lights, the 11 minutes and 27 seconds ultimately ranked first out of the six universities. It is worth noting that KI-Robotics focused on its vehicle’s perception and judgement rather than speed when building its algorithm. Out of the six universities that made it to the final round, KI-Robotics was the only team that excluded GPS from the vehicle to minimize its risk.
The team considered the fact that GPS signals are not accurate in urban settings, meaning location errors can cause problems while driving. As an alternative, the team added three radar sensors and cameras in the front and the back of the vehicle. They also used the urban-specific SLAM technology they developed to construct a precise map and were more successful in location determination.
As opposed to other teams that focused on speed, the KAIST team also developed overtaking route construction technology, taking into consideration the locations of surrounding cars, which gave them an advantage in responding to obstacles while keeping to real urban traffic rules. Through this, the KAIST team could score highest in rounds one and two combined.
Professor Shim said, “I am very glad that the autonomous driving technology our research team has been developing over the last ten years has borne fruit. I would like to thank the leader, Daegyu Lee, and all the students that participated in the development, as they did more than their best under difficult conditions.”
Dae-Gyu Lee, the leader of KI-Robotics and a Ph.D. candidate in the School of Electrical Engineering, explained, “Since we came in fourth in the preliminary round, we were further behind than we expected. But we were able to overtake the cars ahead of us and shorten our record.”
2021.12.07 View 10659 -
KAIST wins second place in unmanned boat competition
KAIST took second place in an international competition to promote technologies of the autonomous underwater vehicle (AUV).
Professor Jin-hwan Kim’s research team from KAIST’s Ocean Systems Engineering Department won the second place in Maritime RobotX Challenge which took place for the first time from October 20 - 26 in Marina Bay, Singapore.
Along with automobiles and drones, the necessity for unmanned boats has grown. To encourage and examine the development of these technologies, the U.S. Office of Naval Research decided to organize an unmanned boat competition which took place for the first time this year.
After three teams were selected from a domestic competition in each countries, a total of fifteen teams from five countries from the Pacific Rim including Korea, the United States, Australia, Japan, and Singapore competed. Teams from such universities as MIT, Tokyo University, Tokyo Institute of Technology, National University of Singapore, Nanyang Technological University, and Queensland University of Technology participated. In addition to KAIST, Seoul National University and Ulsan University participated.
Using a 4.5 meters long and 2.5 meters wide unmanned boat provided by the organizer, each team had to implement an integrated system that combined a propulsion system, hardware, and autonomous software. Each team’s vessel had to perform tasks without manual control, employing autonomous driving through recognition of the course, searching underwater for acoustic sources, automatically approaching piers, remote observation of buoy, and avoidance and detection of obstacles.
Although KAIST outpaced MIT in the semifinal which selected six out of fifteen teams, it won the second place in the final. As well as winning second prize, KAIST also won best website prize and a special prize from the competition sponsor, Northrop Grumman Corporation, an American defense technology company, totaling 16,500 U.S. dollars of prize money.
The Vice President for Planning and Budget, Professor Seungbin Park said, “It was a great opportunity to showcase the advanced unmanned robot technology of Korea.” He added that “this raised KAIST’s reputation as a global research oriented university.”
Professor Kim commented, “Along with automobiles and drones, the necessity for the development of unmanned ocean vehicles such as unmanned boats and submarines are recognized these days.” He added that “the use of unmanned boats will make the process of channel investigation, ocean exploration, surveillance over water territories safer and more effective.”
Professor Kim’s team was sponsored by the U.S. Office of Naval Research, Samsung Heavy Industries, Sonar Tech, Daeyang Electric, and Red-one Technology.
KAIST Team's Unmanned Boat
The Competition's Missions
2014.12.12 View 16624