Exploring structured predictions from sensorimotor data during non-prehensile manipulation using both simulations and robots
Robots are equipped with an increasingly wide array of sensors in order to enable advanced sensorimotor capabilities. However, the efficient exploitation of the resulting data streams remains an open problem. We present a framework for learning when and where to attend in a sensorimotor stream in o...
| Main Author: | |
|---|---|
| Language: | English |
| Published: |
University of British Columbia
2013
|
| Online Access: | http://hdl.handle.net/2429/45552 |