Neural-learning-based force sensorless admittance control for robots with input deadzone
(2020)
Journal Article
Peng, G., Chen, C. L. P., He, W., & Yang, C. (2021). Neural-learning-based force sensorless admittance control for robots with input deadzone. IEEE Transactions on Industrial Electronics, 68(6), 5184-5196. https://doi.org/10.1109/tie.2020.2991929
This paper presents a neural networks based admittance control scheme for robotic manipulators when interacting with the unknown environment in the presence of the actuator deadzone without needing force sensing. A compliant behaviour of robotic mani... Read More about Neural-learning-based force sensorless admittance control for robots with input deadzone.