Experimental studies of neural network impedance force control for robot manipulators

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 4, Issue , 2001, Pages 3453-3458

  Jung, S ^a   Sun Bin Yim, ^a   Hsia, T C ^a  

^a Chungnam National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

DEGREES OF FREEDOM (MECHANICS); FORCE CONTROL; INDUSTRIAL ROBOTS; LEARNING ALGORITHMS; NEURAL NETWORKS;

ROBOT MANIPULATORS;

MANIPULATORS;

EID: 0034868471     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2001.933152     Document Type: Conference Paper

References (6)

1. Impedance control: An approach to manipulator, part i, ii, iii
2. Hybrid position and force control of robot manipulators
3. Adaptive force tracking impedance control of robot for cutting nonhomogeneous workpiece
4. Position/force control of robot manipulators for geometrically unknown objects using fuzzy neural networks
5. Robust neural force control scheme under uncertainties in robot dynamics and unknown environment
6. Intelligent control of manipulators interfacing with an uncertain environment based on generalized impedance