Autonomous Wheelchair
Autonomous wheelchairs aim to enhance mobility for individuals with disabilities through robotic assistance, focusing on safe and intuitive control methods. Current research emphasizes shared autonomy systems, integrating user input (e.g., torso leaning, eye movements) with intelligent navigation algorithms (e.g., visual odometry, model predictive control) and obstacle avoidance. This field is significant for improving quality of life and independence for wheelchair users, driving advancements in human-robot interaction, and contributing to broader assistive robotics technologies.
Papers
An Interactive Hands-Free Controller for a Riding Ballbot to Enable Simple Shared Control Tasks
Chenzhang Xiao, Seung Yun Song, Yu Chen, Mahshid Mansouri, Joao Ramos, William R. Norris, Elizabeth T. Hsiao-Wecksler
Exploiting Physical Human-Robot Interaction to Provide a Unique Rolling Experience with a Riding Ballbot
Chenzhang Xiao, Seung Yun Song, Yu Chen, Mahshid Mansouri, João Ramos, Adam W. Bleakney, William R. Norris, Elizabeth T. Hsiao-Wecksler
Socially-Aware Shared Control Navigation for Assistive Mobile Robots in the Built Environment
Yifan Xu, Qianwei Wang, Vineet Kamat, Carol Menassa
Experimental Evaluation of Road-Crossing Decisions by Autonomous Wheelchairs against Environmental Factors
Franca Corradini, Carlo Grigioni, Alessandro Antonucci, Jérôme Guzzi, Francesco Flammini