The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2008
Session ID : 1A1-I11
Conference information
1A1-I11 Muscular Force Prediction Model based on Prior-information and Short-term Memory of Object Handling
Kosuke SekiyamaMasahiro ItoToshio FukudaTakashi SuzukiKoshiro Yamashita
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Abstract
This paper discusses how object information gives an influence on the predicted handling force applied to the object. Object information includes a short-term memory and a prior-information, that is experience on handling a similar object and the observed visual information. We especially deal with a gripping-object motion, where the surface EMG (sEMG) signals are measured and the predicted handling force is estimated and defined using the integrated EMG (iEMG), that is integrated immediately prior to the gripping-motion. Experimental results show that the predicted gripping force is closely related to the short-term memory and a prior-information or knowledge of the object.
Content from these authors
© 2008 The Japan Society of Mechanical Engineers
Previous article Next article
feedback
Top