Abstract
A multimodal teaching advisor (MTA) that utilizes the work-site operator's know-how and robotic-system information, including that obtained from sensors, in a complementary manner has been enhanced and implemented on a wearable personal computer (WPC) for use with sensor-enhanced robotic systems used in manufacturing. The MTA's software was enhanced to acquire and monitor sensory and robot-motion data. The MTA presents support information to the operator via graphical and speech user interfaces in the WPC. Experimental results for a spatial-path-tracking task performed using a laser range finder showed that the MTA's operation was greatly improved. In particular, the simultaneous provision of support information via both the graphical and speech interfaces shortened the time taken for the operator to teach a robot using a teaching pendant.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
