Abstract
This paper describes a prototype robot grasping system that uses human grasping synergies and a self-organizing map to learn object affordances. The bio-inspired design of the system is presented as well as some of the results from affordance learning.
| Original language | English |
|---|---|
| Pages | 170-180 |
| Number of pages | 11 |
| Publication status | Published - Nov 2010 |
| Event | Proc. 10th Int. Conf. on Epigenetic Robotics 2010 - , Sweden Duration: 03 Oct 2010 → … |
Conference
| Conference | Proc. 10th Int. Conf. on Epigenetic Robotics 2010 |
|---|---|
| Country/Territory | Sweden |
| Period | 03 Oct 2010 → … |
Fingerprint
Dive into the research topics of 'Affordance learning for robotic grasping'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver