Kyoung-Dae Kim (김경대)

Associate Professor, Electrical Engineering and Computer Science, DGIST
– Office: E3-212 
– Phone: +82.53.785.6325 
– Email: kkim@dgist.ac.kr

 

Education

  • Ph.D., Electrical & Computer Engineering, University of Illinois at Urbana-Champaign 
  • M.S., Computer Science, University of Illinois at Urbana-Champaign 
  • M.S., Mechanical Engineering, Hanyang University
  • B.S., Mechanical Engineering, Hanyang University

Past Positions

  • Assistant Professor, Electrical & Computer Engineering, University of Denver, USA (September 2013 ~ August 2017)
  • Postdoctoral Research Associate, Electrical & Computer Engineering, Texas A&M University, USA (August 2011 ~ August 2013)

Members

Current members:

  • Ji Hwan Seo, Ph.D. Candidate, Electrical Engineering & Compute Science, DGIST

Previous members:

  • Qiang Lu (Ph.D., Electrical & Computer Engineering, University of Denver, 2018) 
  • Tyler Friedl (M.S., Electrical & Computer Engineering, University of Denver, 2017)
  • Joseph Casabona (M.S., Electrical & Computer Engineering, University of Denver, 2017)
  • Mohammed Qasim (M.S., Electrical & Computer Engineering, University of Denver, 2016)
  • Hyun Tae Lee (M.S., Information & Communication Engineering, DGIST, 2020)
  • Sang Yong park (M.S., Information & Communication Engineering, DGIST, 2020)
  • Jin Woo Lee (M.S., Information & Communication Engineering, DGIST, 2021)
  • Sung Hoon Youn (M.S., Information & Communication Engineering, DGIST, 2021)
  • Senong Kyung Kwon (Ph.D., Electrical Engineering & Computer Science, DGIST, 2022)
  • Jung Eun Kim (M.S., Electrical Engineering & Computer Science, DGIST, 2023)
  • Jun Young Yun (M.S. Electrical Engineering & Computer Science, DGIST, 2023)
  • Minsu Kim (M.S., Electrical Engineering & Computer Science, DGIST, 2023)

Research

Research Statement: 

Develop theories, tools, and software platforms for autonomous, reliable, and cooperative robotic systems using the tools in control theories, hybrid systems theories,  optimization, real-time systems theories, statistical learning and decision making theories, etc. Application areas of interest are autonomous & connected smart transportation system, autonomous driving system, semi-autonomous robotic systems for intuitive and effortless human-machine interface, motion planning of manipulator for collaborative robotics, cooperative multi-agent systems, aerial/ground/underwater robots for search and rescue mission, etc.
 

On going research:

Safe and Live Connected & Autonomous (CA) Traffic System

  • Model Predictive Control (MPC) for autonomous driving
  • V2V interaction protocol for safety and liveness of highway traffic
  • V2I interaction protocol for safety and liveness of intersection traffic
  • Provably safe and live autonomous & connected traffic system

Smart Intersection System

  • Optimization for autonomous & connected intersection traffic management
  • DNN (Deep Neural Network) for red-light-running (RLR) detection
  • Risk-aware intersection traffic management
  • Vehicle platooning for higher intersection crossing throughput

Autonomous Driving System

  • Motion planning for collision free trajectory generation 
  • Autonomous driving maneuver decision making
  • Robust end-to-end autonomous driving framework

Planning & Control of UAV System

 

  • Motion planning and control for collision free UAV navigation
  • Realtime local mapping, localization, and obstacle detection/tracking 
  • Intuitive teleoperation of UAV with local autonomy for collision avoidance

Collaborative Robotics

 

  • Control for safe physical human-robot interaction
  • Realtime motion planning of high DOF manipulator for human-robot coexistence
  • Task & Motion planning (T&P) for human-robot collaboration

Previous research:

  • Real-time middleware for distributed control system
  • Hybrid system analysis and reachable set computation
  • Dynamic simulation and computed torque control of humanoid robot