IEEE - Institute of Electrical and Electronics Engineers, Inc. - Learning an internal representation of the end-effector configuration space

2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013)

Author(s): Alban Laflaquiere ; Alexander V. Terekhov ; Bruno Gas ; J. Kevin O'Regan
Sponsor(s): IEEE Ind. Electron. Soc.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 November 2013
Conference Location: Tokyo, Japan
Conference Date: 3 November 2013
Page(s): 1,230 - 1,235
ISSN (Paper): 2153-0858
DOI: 10.1109/IROS.2013.6696507
Regular:

Current machine learning techniques proposed to automatically discover a robot's kinematics usually rely on a priori information about the robot's structure, sensor properties or end-effector... View More

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