Name
Abstract | ||
|---|---|---|
In this paper, a neural networks (NNs) enhanced telerobot control system is designed and tested on a Baxter robot. Guaranteed performance of the telerobot control system is achieved at both kinematic and dynamic levels. At kinematic level, automatic collision avoidance is achieved by the control design at the kinematic level exploiting the joint space redundancy, thus the human operator would be a... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCYB.2016.2573837 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Collision avoidance,Manipulator dynamics,Robot sensing systems,Robot kinematics,Kinematics | Kinematics,Inverse kinematics,Control theory,Robot kinematics,Redundancy (engineering),Control system,Adaptive control,Artificial neural network,Telerobotics,Mathematics | Journal |
Volume | Issue | ISSN |
47 | 10 | 2168-2267 |
Citations | PageRank | References |
66 | 1.74 | 21 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chenguang Yang | 1 | 2213 | 138.71 |
| Xinyu Wang | 2 | 260 | 21.36 |
| Long Cheng | 3 | 1492 | 73.97 |
| H-b Ma | 4 | 137 | 13.68 |