Cyberworks Robotics
Low-cost Perception System and Remote Management of an Autonomous Wheelchair
Autonomous Wheelchairs increase freedom and ease of mobility for the most vulnerable peoples in society. This student team integrated sensors and developed a perception system for autonomous, campus-wide navigation, with the goal of reducing reliance on LiDAR based SLAM. The team also focused on integrating system fault detection and a remote wheelchair management system into the Cyberworks Autonomous Navigation stack.
Faculty Adviser(s)
Rania Hussein, Electrical & Computer Engineering
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