Abstract
We propose a system for vision-based estimation of manipulation-relevant properties of objects in natural scenes based on observation of human actions. The system consists of an a-priori (Atlas) knowledge about known generic objects in the scene and classifies the scene into mission relevant objects and background geometry that is important only for collision avoidance.We present the object-centric structure of our system consisting of an Atlas representation and a Working Memory storing the current knowledge about the scene, the manipulated objects and actions applied to them in the local environment. We present experimental results how the system maintains the information in the database and we show the quality of the results that can be obtained with our system.
| Original language | English |
|---|---|
| Title of host publication | 2010 IEEE International Conference on Robotics and Automation, ICRA 2010 |
| Pages | 192-198 |
| Number of pages | 7 |
| DOIs | |
| State | Published - 2010 |
| Event | 2010 IEEE International Conference on Robotics and Automation, ICRA 2010 - Anchorage, AK, United States Duration: 3 May 2010 → 7 May 2010 |
Publication series
| Name | Proceedings - IEEE International Conference on Robotics and Automation |
|---|---|
| ISSN (Print) | 1050-4729 |
Conference
| Conference | 2010 IEEE International Conference on Robotics and Automation, ICRA 2010 |
|---|---|
| Country/Territory | United States |
| City | Anchorage, AK |
| Period | 3/05/10 → 7/05/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Fingerprint
Dive into the research topics of 'Estimation of spatio-temporal object properties for manipulation tasks from observation of humans'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver