Parametric primitives for motor representation and control

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 1, Issue , 2002, Pages 863-868

  Amit, R ^a   Matarić, Maja J ^a  

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

Author keywords

Humanoids; Learning; Motor control; Primitives; Self organizing maps

Indexed keywords

COMPUTER SIMULATION; DEGREES OF FREEDOM (MECHANICS); INTELLIGENT ROBOTS; MOTION CONTROL; ROBOT LEARNING; ROBOT PROGRAMMING; SELF ORGANIZING MAPS;

HUMANOIDS; MOTOR CONTROL; PRIMITIVES;

ROBOTICS;

EID: 0036057183     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Using primitives in learning from observation
2. Learning motor skills by imitation: A biologically inspired robotic model
3. A biologically inspired robotic model for learning by imitation
4. Learning human arm movements by imitation: Evaluation of biologically-inspired connectionist architecture
5. The kinematics of hyper-redundant robotic locomotion
6. Neural control of locomotion; part 1: The central pattern generator from cats to humans, gait and posture
7. Self-organizing maps: Ordering, convergence properties and energy functions
8. Automated derivation of primitive for movement classification
9. Convergent force fields organized in the frog's spinal cord
10. Trajectory formation for imitation with nonlinear dynamical systems
11. Self-organized formation of topologically correct feature maps
12. The self-organizing map
13. Visuo-motor primitives as a basis for learning by imitation
14. Linear combination of primitives in vertebrate motor control
15. Is imitation learning the route to humanoid robots
16. Programmable pattern generators
17. Learning of action through combination of motor primitives