Generation of a task model by integrating multiple observations of human demonstrations

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 2, Issue , 2002, Pages 1545-1550

  Ogawara, Koichi ^a   Takamatsu, Jun ^a   Kimura, Hiroshi ^a   Ikeuchi, Katsushi ^a  

^a INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CALCULATIONS; COMPUTER VISION; DYNAMIC PROGRAMMING; END EFFECTORS; MOBILE ROBOTS; MOTION PLANNING; TREES (MATHEMATICS);

HUMAN DEMONSTRATION; HUMAN-FORM ROBOT; TASK MODEL;

ROBOT LEARNING;

EID: 0036061336     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Toward an assembly plan from observation part i: Task recognition with polyhedral objects
2. Learning by watching
3. Acquiring hand-action models in task and behavior levels by a learning robot through observing human demonstrations
4. An approach to automatic robot programming based on inductive learning
5. Primitive-based movement classification for humanoid imitation
6. The direct teaching of tool manipulation skills via the impedance identification of human motionslearning tasks from a single demonstration
7. Trajectory generation from noisy positions of object features for teaching robot paths
8. Robot programming by human demonstration: Adaptation and inconsistency in constrained motion
9. Extraction of fine motion through multiple observations of human demonstration by dp matching and combined template matching
10. A gentle to multiple alignment