Learning and planning high-dimensional physical trajectories via structured Lagrangians

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2010, Pages 846-852

  Vernaza, Paul ^a   Lee, Daniel D ^a   Yi, Seung Joon ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COST PATH; DIMENSIONAL SPACES; EFFICIENT PATH PLANNING; FERMAT'S PRINCIPLE; FREE PARTICLES; HIGH DIMENSIONAL SPACES; HIGH-DIMENSIONAL; HUMAN MOTIONS; LAGRANGIAN; LIGHT RAYS; LOW-DIMENSIONAL STRUCTURES; PHYSICAL MOTION; PHYSICAL SYSTEMS; PLANNING PROBLEM; TIME TRAJECTORIES; WALKING GAIT;

LAGRANGE MULTIPLIERS; MODELS; ROBOTICS; ROBOTS;

TRAJECTORIES;

EID: 77955836982     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2010.5509698     Document Type: Conference Paper

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