Author:
Guo Ying,Peng Jinzhu,Ding Shuai,Liu Yanhong
Publisher
Springer Nature Singapore
Reference18 articles.
1. Yoshikawa, T.: Force control of robot manipulators. In: Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No. 00CH37065), vol. 1, pp. 220–226. IEEE (2000)
2. Kiguchi, K., Fukuda, T.: Position/force control of robot manipulators for geometrically unknown objects using fuzzy neural networks. IEEE Trans. Industr. Electron. 47(3), 641–649 (2000)
3. Kumar, N., Panwar, V., Sukavanam, N., Sharma, S.P., Borm, J.-H.: Neural network based hybrid force/position control for robot manipulators. Int. J. Precis. Eng. Manuf. 12, 419–426 (2011)
4. Wahrburg, A., Bös, J., Listmann, K.D., Dai, F., Matthias, B., Ding, H.: Motor-current-based estimation of cartesian contact forces and torques for robotic manipulators and its application to force control. IEEE Trans. Autom. Sci. Eng. 15(2), 879–886 (2017)
5. Hogan, N.: Impedance control: an approach to manipulation. In: 1984 American Control Conference, pp. 304–313 (1984)