Learning robot dynamics for computed torque control using local Gaussian processes regression

Proceedings of the 2008 ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems, LAB-RS 2008

Volumn , Issue , 2008, Pages 59-64

  Nguyen Tuong, Duy ^a   Peters, Jan ^a  

^a MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACTUATOR DYNAMICS; COMPUTATIONAL COSTS; COMPUTED TORQUE CONTROL; CONTROL PERFORMANCES; DYNAMICS MODELING; ENERGY-EFFICIENT; GAUSSIAN PROCESSES; LOCALLY WEIGHTED PROJECTION REGRESSION; NON-LINEARITIES; NON-PARAMETRIC; ON-LINE LEARNING; REGRESSION METHODS; REGRESSION TECHNIQUES; RIGID BODIES; ROBOT DYNAMICS; ROBOTIC SYSTEMS; SUPPORT VECTOR REGRESSION;

ADAPTIVE SYSTEMS; COMPUTATIONAL COMPLEXITY; CONTROL NONLINEARITIES; DYNAMICS; E-LEARNING; EDUCATION; ENERGY EFFICIENCY; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); INTERNET; MACHINE DESIGN; MATHEMATICAL MODELS; ONLINE SYSTEMS; RADAR ANTENNAS; RAPID SOLIDIFICATION; REGRESSION ANALYSIS; ROBOTICS; ROBOTS; STANDARDS; TORQUE CONTROL; TRELLIS CODES;

PROCESS CONTROL;

EID: 53849144650     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/LAB-RS.2008.16     Document Type: Conference Paper

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