Planning to learn: Integrating model learning into a trajectory planner for mobile robots
For a mobile robot that performs online model learning, the learning rate is a function of the robot's trajectory. The tracking errors that arise when the robot executes a motion plan depend on how well the robot has learned its own model. Therefore a planner that seeks to minimize collisions w...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute of Electrical and Electronics Engineers
2010
|
| Online Access: | http://hdl.handle.net/1721.1/59360 https://orcid.org/0000-0002-2621-7633 |