DocumentCode :
1503472
Title :
Grip Control Using Biomimetic Tactile Sensing Systems
Author :
Wettels, Nicholas ; Parnandi, Avinash R. ; Moon, Ji-Hyun ; Loeb, Gerald E. ; Sukhatme, Gaurav S.
Author_Institution :
Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA
Volume :
14
Issue :
6
fYear :
2009
Firstpage :
718
Lastpage :
723
Abstract :
We present a proof-of-concept for controlling the grasp of an anthropomorphic mechatronic prosthetic hand by using a biomimetic tactile sensor, Bayesian inference, and simple algorithms for estimation and control. The sensor takes advantage of its compliant mechanics to provide a triaxial force sensing end-effector for grasp control. By calculating normal and shear forces at the fingertip, the prosthetic hand is able to maintain perturbed objects within the force cone to prevent slip. A Kalman filter is used as a noise-robust method to calculate tangential forces. Biologically inspired algorithms and heuristics are presented that can be implemented online to support rapid, reflexive adjustments of grip.
Keywords :
Kalman filters; biomimetics; dexterous manipulators; end effectors; grippers; manipulators; prosthetics; tactile sensors; Bayesian inference; Kalman filter; anthropomorphic mechatronic prosthetic hand; biomimetic tactile sensing systems; fingertip; grip control; noise-robust method; normal forces; shear forces; triaxial force sensing end-effector; Biomimetic; dexterous manipulators; grip control; tactile sensor;
fLanguage :
English
Journal_Title :
Mechatronics, IEEE/ASME Transactions on
Publisher :
ieee
ISSN :
1083-4435
Type :
jour
DOI :
10.1109/TMECH.2009.2032686
Filename :
5290153
Link To Document :
بازگشت