Name
Abstract | ||
|---|---|---|
Robotics systems are becoming more and more autonomous and reconfigurable. In this context, the design of algorithms capable of deriving kinematics and dynamics models directly from data could be particularly useful. In this article, we present an algorithm that learns a forward kinematics model of a robot starting from a time series of visual observations. Our strategy can be applied to any robot... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TRO.2020.3038690 | IEEE Transactions on Robotics |
Keywords | DocType | Volume |
Kinematics,Robots,Cameras,Mathematical model,Geometry,Standards,Solid modeling | Journal | 37 |
Issue | ISSN | Citations |
3 | 1552-3098 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alberto Dalla Libera | 1 | 3 | 2.79 |
| Nicola Castaman | 2 | 1 | 2.72 |
| Stefano Ghidoni | 3 | 200 | 19.59 |
| Ruggero Carli | 4 | 894 | 69.17 |