Autonomous Robotics and Control Laboratory16
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.
Advisor Professor : Kim, Kyoung Dae
ARC Lab Homepage
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.
Advisor Professor : Kim, Kyoung Dae
ARC Lab Homepage
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Recent Submissions
RSS 1.0
RSS 2.0
ATOM 1.0
- An RNN based Adaptive Hybrid Time Series Forecasting Model for Driving Data Prediction
- An Accurate Path Tracking Algorithm for Autonomous Vehicles Based on Pure Pursuit with Systematically Designed Look-Ahead Distance and Sideslip Compensation
- 자율 주행 차량 및 이의 조향 제어 방법
- 무인기 운행을 위한 로컬 동적 맵 생성 장치 및 방법
- A discrete-time linear model predictive control for motion planning of an autonomous vehicle with adaptive cruise control and obstacle overtaking