Name
Title | ||
|---|---|---|
Force Sensorless Admittance Control for Teleoperation of Uncertain Robot Manipulator Using Neural Networks |
Abstract | ||
|---|---|---|
In this paper, a force sensorless control scheme based on neural networks (NNs) is developed for interaction between robot manipulators and human arms in physical collision. In this scheme, the trajectory is generated by using geometry vector method with Kinect sensor. To comply with the external torque from the environment, this paper presents a sensorless admittance control approach in joint spa... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TSMC.2019.2920870 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Keywords | DocType | Volume |
Robot sensing systems,Force,Robot kinematics,Artificial neural networks,Admittance,Torque | Journal | 51 |
Issue | ISSN | Citations |
5 | 2168-2216 | 14 |
PageRank | References | Authors |
0.57 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chenguang Yang | 1 | 2213 | 138.71 |
| Guangzhu Peng | 2 | 45 | 2.71 |
| Long Cheng | 3 | 1492 | 73.97 |
| Jing Na | 4 | 486 | 39.88 |
| Zhijun Li | 5 | 939 | 91.73 |