DocumentCode :
3088532
Title :
Invariant signature description and trajectory reproduction for robot Learning by Demonstration
Author :
Wu, Shandong ; Li, Y.F. ; Zhang, Jianwei
Author_Institution :
Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, Kowloon
fYear :
2008
fDate :
22-26 Sept. 2008
Firstpage :
4060
Lastpage :
4065
Abstract :
In most reported works about robot learning by demonstration (LbD), the demonstration is normally limited to simple gestures or grasp actions. In this paper, motion trajectory oriented LbD is studied in which free form 3-D motion trajectory is extracted to characterize certain human demonstrations. We propose to build effective description to motion trajectories to be learned by a robot instead of learning the raw trajectory data. A novel signature descriptor is formulated which serves as a generic and invariant description for motion trajectories. More importantly, a trajectory reproduction algorithm based on the learned signature is investigated to enable a robot to repeat/follow the reproduced trajectory instance. Experiments are reported to show the signature description and the reproduction algorithm for further application to the LbD.
Keywords :
learning (artificial intelligence); motion control; position control; robots; 3D motion trajectory; invariant signature description; robot learning by demonstration; trajectory reproduction; Distance measurement; Equations; Humans; Mathematical model; Robot kinematics; Robots; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-2057-5
Type :
conf
DOI :
10.1109/IROS.2008.4650646
Filename :
4650646
Link To Document :
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