Abstract
Grasping unknown objects based on real-world visual input is a challenging problem. In this paper, we present an Early Cognitive Vision system that builds a hierarchical representation based on edge and texture information, which is a sparse but powerful description of the scene. Based on this representation we generate edge-based and surface-based grasps. The results show that the method generates successful grasps, that the edge and surface information are complementary, and that the method can deal with more complex scenes. We furthermore present a benchmark for visual-based grasping.
Original language | English |
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Title of host publication | IROS'11 - 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems |
Subtitle of host publication | Celebrating 50 Years of Robotics |
Publisher | IEEE |
Pages | 987-994 |
Number of pages | 8 |
ISBN (Print) | 9781612844541 |
DOIs | |
Publication status | Published - 29 Dec 2011 |
Externally published | Yes |
Event | 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics, IROS'11 - San Francisco, CA, United States Duration: 25 Sept 2011 → 30 Sept 2011 |
Conference
Conference | 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems: Celebrating 50 Years of Robotics, IROS'11 |
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Country/Territory | United States |
City | San Francisco, CA |
Period | 25/09/11 → 30/09/11 |