Neural network based hybrid force/position control for robot manipulators

Raibert, M. H. and Craig, J. J., “Hybrid Position/Force Control of Manipulators,” ASME Journal of Dynamical Systems, Measurement and Control, Vol. 103, No. 2, pp. 126–133, 1981.

Lozano, R. and Brogliato, B., “Adaptive Hybrid Position/Force Control of Redundant Manipulators,” IEEE Transactions on Automatic Control, Vol. 37, No. 10, pp. 1501–1505, 1992.

Yoshikawa, T. and Sudou, A., “Dynamic Hybrid Position/Force Control of Robot Manipulators: Online-Estimation of Unknown Constraint,” IEEE Transactions on Robotics and Automation, Vol. 9, No. 2, pp. 220–226, 1993.

Kwan, C. M., “Robust Adaptive Force/Motion Control of Constrained Robots,” IEE Proc.-Control Theory and Applications, Vol. 143, No. 1, pp. 103–109, 1996.

De Queiroz, M. S., Jun, H. and Dawson, D. M., “Adaptive Position/Force Control of Robot Manipulators without Velocity Measurements: Theory and Experimentation,” IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, Vol. 27, No. 5, pp. 796–809, 1997.

Xiao, D., Ghosh, B. K., Ning, X. and Tarn, T. J., “Dynamic Hybrid Position/Force Control of a Robot Manipulator in an uncalibrated environment,” IEEE Transactions on Control Systems Technology, Vol. 8, No. 4, pp. 635–645, 2000.

Kouya, D. N., Saad, M. and Lamarche, L., “Backstepping Adaptive Hybrid Force/Position Control for Robotic Manipulators,” Proc. of the American Control Conference, pp. 4595–4600, 2002.

Roy, J. and Whitcomb, L. L., “Adaptive Force Control of Position/Velocity Controlled Robots: Theory and Experiment,” IEEE Transactions on Robotics and Automation, Vol. 18, No. 2, pp. 121–137, 2002.

Cheah, C. C., Zhao, Y. and Slotine, J. J. E., “Adaptive Jacobian Motion and Force Control for Constrained Robots with Uncertainties,” Proc. of the International Conference on Robotics and Automation, pp. 2226–2231, 2006.

Kang, S., Komoriya, K., Yokoi, K., Koutoku, T., Kim, B. and Park, S., “Control of Impulsive Contact Force Between Mobile Manipulator and Environment Using Effective Mass and Damping Controls,” Int. J. Precis. Eng. Manuf., Vol. 11, No. 5, pp. 697–704, 2010.

Lewis, F. L., Liu, K. and Yesildirek, A., “Neural Net Robot Controller with Guaranted Tracking Performance,” IEEE Transactions on Neural Networks, Vol. 6, No. 3, pp. 703–715, 1995.

Lewis, F. L., Yesildirek, A. and Liu, K., “Multilayer Neural Net Robot Controller with Guaranted Tracking Performance,” IEEE Transactions on Neural Networks, Vol. 7, No. 2, pp. 388–399, 1996.

Lewis, F. L., Jagannathan, S. and Yesildirek, A., “Neural Networks Control of Robot Manipulators and Nonlinear Systems,” Taylor and Francis, 1999.

Shenghai, H., Marcelo, H. A. and Krishnan, H., “Online Neural Networks Compersator for Constrained Robot Manipulators,” Proc. of the 3rd Asian Control Conference, pp. 1621–1627, 2000.

Karayiannidis, Y., Rovithakis, K. and Doulgeri, Z., “Force/Position Tracking for a Robotic Manipulator in compliant contact with a surface using Neuro-adaptive Control,” Automatica, Vol. 43, No. 7, pp. 1281–1288, 2007.

Panwar, V. and Sukavanam, N., “Design of Optimal Hybrid Position/Force Controller for a Robot Manipulator using Neural Networks,” Mathematical Problems in Engineering, Vol. 23, Article ID. 65028, 2007.

Zhao, Y. and Cheah, C. C., “Vision Based Neural Network Control for Constrained Robots with Constraint Uncertainty,” IET Control Theory and Applications, Vol. 2, No. 10, pp. 906–916, 2008.

Hornic, K., Stinchcombe, M. and White, H., “Multilayers Feedforward Networks are Universal Approximators,” Neural Networks, Vol. 2, No. 5, pp. 359–366, 1989.