TEO Chee Leong

Associate Professor at National University of Singapore

Schools

  • National University of Singapore

Links

Biography

National University of Singapore

Dr. Teo graduated from the National University of Singapore with a B.Eng in Mechanical Engineering (1st Class Honors). Subsequently he joined NUS as a Senior Tutor and left to do his Ph.D at the University of California, Berkeley. He then came back to join NUS as a lecturer in 1988. His research is in controls of mechanical systems and mechatronics. He currently is an Associate Professor in the Department of Mechanical Engineering, and the director of the NUS Overseas College.

Qualification

  • PhD (UC Berkeley), B.Eng (NUS)

Research Interests

  • Controls of Mechanical Systems
  • Robotic wheelchair
  • Rehabilitation robotics

Selected Publications

  • ES Boy, E Burdet, CL Teo and JE Colgate (2007), Experimental Evaluation of Motion Guidance with a Cobot. IEEE Transactions on Robotics 23(2): 245-55.
  • B Rebsamen, E Burdet, C Guan, CL Teo, Q Zeng, C Laugier and M Ang (2007), Navigating ones Wheelchair in a Building by Thought. IEEE Intelligent Systems 22: 18-24 (featured article).
  • O Lambercy, L Dovat, R Gassert, CL Teo, T Milner and E Burdet (2007), A Haptic Knob for Rehabilitation of Hand Function. IEEE Transactions on Neural Systems and Rehabilitation Engineering 15(3): 356-66.
  • Q Zeng, E Burdet, B Rebsamen and CL Teo (2008), A Collaborative Wheelchair System. IEEE Transactions on Neural Systems and Rehabilitation Engineering 16(2): 161-70.
  • Q Zeng, E Burdet, B Rebsamen and CL Teo (2008), Collaborative Path Planning for a Robotic Wheelchair, Disability and Rehabilitation: Assistive Technology 3(6): 315-24.
  • Q Zeng, E Burdet and CL Teo (2008), Evaluation of a Collaborative Wheelchair System in Cerebral Palsy and Traumatic Brain Injury Users, Neurorehabilitation and Neural Repair 23(5):494-504.
  • L Dovat, O Lambercy, R Gassert, T Maeder, CL Teo, T Milner and E Burdet (2008), HandCARE: A Cable-Actuated Rehabilitation Equipment to Train Hand Function after Stroke. IEEE Transactions on Neural Systems and Rehabilitation Engineering 16(6): 582-91.

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