Abstract
Friendly interaction between robot and human is vital in the design of a human centered system. Among several interaction technologies, the intention reading of the user plays an important role for the human centered system. We focus on the aspect of intention reading in rehabilitation robots, and implement its capability for the wheelchair-based robotic arm system, called KARES (KAIST Rehabilitation Engineering Service System) II. An effective intention reading scheme is proposed on the basis of several soft computing techniques to handle uncertainty of the user's intention. Two application examples of intention reading in KARES II are discussed: one is visual servoing of the user's face, and the other is emergency stop of the robot by using EMG signals of the user's arm.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Soft Computing - A Fusion of Foundations, Methodologies and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.