IcLQG: Combining local and global optimization for control in information space

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2009, Pages 2851-2858

  Huynh, Vu Anh ^a   Roy, Nicholas ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL ACTIONS; CONTROL LAWS; CONVENTIONAL CONTROLLERS; FEEDBACK CONTROL LAW; GLOBAL APPROXIMATION; GLOBAL PLANNING; HIGH-DIMENSIONAL SYSTEMS; INFORMATION SPACES; LINEAR QUADRATIC GAUSSIAN; MULTIPLE QUERIES; NOVEL ALGORITHM; OPTIMAL MOTION; ROADMAP; STATE INFORMATION; THREE DIMENSIONS;

APPROXIMATION ALGORITHMS; COMPUTATION THEORY; FEEDBACK CONTROL; GLOBAL OPTIMIZATION; OPTIMIZATION; ROBOTICS; ROBOTS; ROBUST CONTROL; TECHNOLOGICAL FORECASTING;

FEEDBACK;

EID: 70350379394     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2009.5152607     Document Type: Conference Paper

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