78 search results - page 9 / 16 » Robot Learning Manipulation Action Plans by |
AGENTS
1998
Springer
13 years 11 months ago
1998
Springer
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
AIIA
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In order to have a robotic system able to effectively learn by imitation, and not merely reproduce the movements of a human teacher, the system should have the capabiliti...
INFORMATICALT
2002
13 years 7 months ago
2002
An adaptive control scheme for mechanical manipulators is proposed. The control loop essentially consists of a network for learning the robot's inverse dynamics and on-line ge...
ATAL
2009
Springer
13 years 8 months ago
2009
Springer
Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
JIRS
2000
13 years 7 months ago
2000
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...