Prataksita N.Lin Y.-T.Chou H.-C.Kuo C.-H.CHUNG-HSIEN KUO2022-05-242022-05-242014https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904574361&doi=10.1109%2fISBB.2014.6820928&partnerID=40&md5=d2c3ab1ac9a3329e5c9390aa5e2525cehttps://scholars.lib.ntu.edu.tw/handle/123456789/611582Recent advances in brain computer interface (BCI) offers its capabilities to provide a way of communication with non-muscular activity to control computers, robots, and other assistive technologies. This paper exploits the possibility towards a semiautonomous, humanoid robot personal assistant for handicapped subjects. The motor imagery (MI) utilizes the event-related desynchronization (ERD) signal to detect user intentions. The detected user intention is further used to manipulate a small-size humanoid robot. In addition, the robot may avoid collision in terms of a vision-based obstacle avoidance approach so that it can walk in an unstructured environment safely. ? 2014 IEEE.Anthropomorphic robotsBioinformaticsAssistive technologyControl interfacesDevelopment and applicationsEvent related desynchronizationHumanoid robotPersonal assistantsUnstructured environmentsUser intentionBrain computer interfaceconference paper10.1109/ISBB.2014.68209282-s2.0-84904574361