A Bayesian approach to empirical local linearization for robotics

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2008, Pages 2860-2865

  Ting, Jo Anne ^a   D'Souza, Aaron ^b   Vijayakumar, Sethu ^c   Schaal, Stefan ^a,d  

^a University of Southern California ^*  (United States)

^b GOOGLE INC   (United States)

^c UNIVERSITY OF EDINBURGH   (United Kingdom)

^d ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; ARSENIC COMPOUNDS; COMPUTER NETWORKS; CONTROL SYSTEMS; INDUSTRIAL ENGINEERING; INFERENCE ENGINES; LEARNING ALGORITHMS; PARAMETER ESTIMATION; REAL TIME SYSTEMS; REGRESSION ANALYSIS; ROBOTICS; ROBOTS; STATISTICAL METHODS; TESTING;

BAYESIAN APPROACHES; INTERNATIONAL CONFERENCES; LOCAL LINEARIZATION; ROBOTICS SYSTEMS;

LINEARIZATION;

EID: 51649101130     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2008.4543643     Document Type: Conference Paper

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