DocumentCode :
2417756
Title :
Robot end-effector sensing with position sensitive detector and inertial sensors
Author :
Wang, Cong ; Chen, Wenjie ; Tomizuka, Masayoshi
Author_Institution :
Dept. of Mech. Eng., Univ. of California, Berkeley, CA, USA
fYear :
2012
fDate :
14-18 May 2012
Firstpage :
5252
Lastpage :
5257
Abstract :
For the motion control of industrial robots, the end-effector performance is of the ultimate interest. However, industrial robots are generally only equipped with motor-side encoders. Accurate estimation of the end-effector position and velocity is thus difficult due to complex joint dynamics. To overcome this problem, this paper presents an optical sensor based on position sensitive detector (PSD), referred as PSD camera, for direct end-effector position sensing. PSD features high precision and fast response while being cost-effective, thus is favorable for real-time feedback applications. In addition, to acquire good velocity estimation, a kinematic Kalman filter (KKF) is applied to fuse the measurement from the PSD camera with that from inertial sensors mounted on the end-effector. The performance of the developed PSD camera and the application of the KKF sensor fusion scheme have been validated through experiments on an industrial robot.
Keywords :
Kalman filters; cameras; end effectors; industrial manipulators; motion control; optical sensors; position measurement; robot vision; sensor fusion; KKF sensor fusion scheme; PSD camera; complex joint dynamics; direct end effector position sensing; end effector performance; end effector position estimation; industrial robots; inertial sensors; kinematic Kalman filter; motion control; motor-side encoders; optical sensor; position sensitive detector; real-time feedback applications; robot end effector sensing; velocity estimation; Calibration; Cameras; Position measurement; Robot vision systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2012 IEEE International Conference on
Conference_Location :
Saint Paul, MN
ISSN :
1050-4729
Print_ISBN :
978-1-4673-1403-9
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ICRA.2012.6225180
Filename :
6225180
Link To Document :
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