To develop a smart wheelchair system that transports multiple passengers at a time and requires minimal human supervision.
Nowadays, a service staff is required to push a manual wheelchair for every mobility-impaired passenger in most of the air
port terminals. This incurs high labour cost and low efficiency in airport daily operation. Our team is developing a control system that enables autonomous and semi-autonomous operation of wheelchairs in the airport terminals that would significantly help to alleviate the need for manpower to physically transport hundreds of wheelchairs, individually, on a daily basis.
A prototype of the smart wheelchair incorporated with vision, obstacles detection sensor and electric motor control.
Leader-follower pairs operation. Demonstration of smart wheelchair system
- Mao Shan, Ying Zou, Mingyang Guan, Changyun Wen, Kwang-Yong Lim, ChengLeong Ng, Paul Tan " Probabilistic Trajectory Estimation based Leader Following for Multi-Robot Systems", 2016 14th International Conference on Control, Automation, Robotics & Vision.
- Ying Zou, Changyun Wen, Mao Shan, Mingyang Guan "Image-based Visual Tracking Adaptive Control for Mobile Robots ", 2016 14th International Conference on Control, Automation, Robotics & Vision.