Name
Abstract | ||
|---|---|---|
We consider the problem of objects exploration for grasping purposes, specifically in cases where vision based methods are not applicable. A novel dual-hand object exploration method is proposed that takes benefits from a human demonstration to enrich knowledge about an object. The user handles an object freely using both hands, without restricting the object pose. A set of grasp-related features obtained during exploration is demonstrated and utilized to generate grasp oriented bounding boxes that are basis for pre-grasp hypothesis. We believe that such exploration done in a natural and user friendly way creates important link between an operator intention and a robot action. |
Year | Venue | Keywords |
|---|---|---|
2009 | ICAR: 2009 14TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS, VOLS 1 AND 2 | robots,accuracy,computer science,hardware,shape,machine vision,robustness,tactile sensors,friction,feature extraction,object recognition,meteorology |
Field | DocType | Citations |
Object detection,Computer vision,GRASP,Method,Machine vision,Feature extraction,Artificial intelligence,User Friendly,Engineering,Robot,Cognitive neuroscience of visual object recognition | Conference | 3 |
PageRank | References | Authors |
0.46 | 12 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Krzysztof Charusta | 1 | 3 | 0.46 |
| Dimitar Dimitrov | 2 | 376 | 49.21 |
| Achim J. Lilienthal | 3 | 1468 | 113.18 |
| Boyko Iliev | 4 | 111 | 11.46 |