Name
Title | ||
|---|---|---|
Combining deep learning for visuomotor coordination with object identification to realize a high-level interface for robot object-picking |
Abstract | ||
|---|---|---|
We present a proof of concept to show how a deep network for end-to-end visuomotor learning to grasp is coupled with an attention focus mechanism for state-of-the-art object detection with convolutional neural networks. The cognitively motivated integration of both methods in a single robotic system allows us to realize a high-level interface to use the visuomotor network in environments with several objects, which otherwise would only be usable in environments with a single object. The resulting system is deployed on a humanoid robot, and we perform several real-world grasping experiments that demonstrate the feasibility of our approach. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/HUMANOIDS.2017.8246935 | 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids) |
Keywords | Field | DocType |
deep learning,visuomotor coordination,object identification,high-level interface,end-to-end visuomotor,convolutional neural networks,humanoid robot,real-world grasping experiments,object detection,robot object-picking | Object detection,GRASP,Computer science,Simulation,Convolutional neural network,Robot kinematics,Proof of concept,Human–computer interaction,Artificial intelligence,Deep learning,Robot,Humanoid robot | Conference |
ISBN | Citations | PageRank |
978-1-5386-4679-3 | 0 | 0.34 |
References | Authors | |
7 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manfred Eppe | 1 | 63 | 11.60 |
| Matthias Kerzel | 2 | 0 | 0.68 |
| Griffiths, S.S. | 3 | 5 | 2.49 |
| Hwei Geok Ng | 4 | 0 | 0.34 |
| Stefan Wermter | 5 | 1100 | 151.62 |