CHENG-YU LEE

Education

• Ph.D. in Aeronautics and Astronautics, Stanford University, 2002

  Research focused in Robotics and Control

  Areas of specialization: AI/Robotics, Control Design, Software Engineering, and Composite Structures.

   

• M.S. in Mechanical Engineering, Drexel University, Philadelphia, PA, 1994

  Major in Systems and Control with minor in Thermal and Fluid Science

  Coursework: Computer-based Control, Discrete-Time Estimation, and Non-linear Control.

   

• B.S. in Mechanical Engineering, National Tsing Hua University, Taiwan, 1991

Research Interests

I am interested in developing intelligent agents that can automatically plan and react to the physical world based on sensory feedbacks. This intelligent agent can be, but is not limited to, a robot manipulator, an automatic mechanism (e.g. cars), a computer simulation system (e.g. virtual games), or simply an electronic device (e.g., a smart rear-view mirror), etc. The task is to render physical or virtual responses based on intelligent planning and efficient sensory data processing. Works underlying this kind of research include developing software and software architecture, designing computer algorithms, and integrating and inventing hardware.

Likewise, my current research focuses on motion planning under visibility and motion constraints. Research topics include: real-time target tracking in an indoor environment, real-time laser sensory data processing, motion planning for an aerial surveillance helicopter, and steady pushing using mobile robots. One major achievement is the development of a target-tracking robotic system that can track a target moving unpredictably amidst unknown obstacles with an innovative motion algorithm and a fast sensory data processing algorithm.

For the future, in the scope of motion planning, I plan to further research  in collaborative target-tracking, target finding, and motion planning with dynamic constraints. It is also my goal to explore image processing, visual tracking, geometric motion strategy problems, non-linear systems, artificial intelligence and other practical issues with real world applications such as mobile robotics, nocturnal driving aid devices, selective anti-glare windshield, and unmanned aerial vehicle (UAV).

Contact information