Vuckbrotovic, M., and Tuneski, A. I., 1998, “Mathematical Model of Multiple Manipulators: Cooperative Compliant Manipulation on Dynamical Environments,” Mech. Mach. Theory
[CrossRef], 33 , pp. 1211–1239.
Braun, B. M., Starr, G. P., Wood, J. E., and Lumia, R., 2004, “A Framework for Implementing Cooperative Motion on Industrial Controllers,” IEEE Trans. Rob. Autom.
[CrossRef], 20 , pp. 583–589.
Arimoto, S., Miyazaki, F., and Kawamura, S., 1987, “Cooperative Motion Control of Multiple Robot Arms or Fingers,” "Proceedings of the 1987 IEEE International Conference on Robotics and Automation", Raleigh, NC, pp. 1407–1412.
Kopf, C. D., and Yabuta, T., 1988, “Experimental Comparison of Master∕Slave and Hybrid Two Arm Position∕Force Control,” "Proceedings of the 1988 IEEE International Conference on Robotics and Automation", Philadelphia, PA, pp. 1633–1637.
Raibert, M. H., and Craig, J. J., 1981, “Hybrid Position∕Force Control of Manipulators,” ASME J. Dyn. Syst., Meas., Control, 102 , pp. 126–133.
Yoshikawa, T., and Zheng, X.-Z., 1993, “Coordinated Dynamic Hybrid Position∕Force Control for Multiple Robot Manipulators Handling One Constrained Object,” Int. J. Robot. Res.
[CrossRef], 12 (3), pp. 219–230.
Perdereau, V., and Drouin, M., 1996, “Hybrid External Contol for Two Robot Coordinated Motion,” Robotica, 14 , pp. 141–153.
Liu, Y.-H., and Arimoto, S., 1996, “Distributively Controlling Two Robots Handling an Object in the Task Space Without any Communicaiton,” IEEE Trans. Autom. Control
[CrossRef], 41 (8), pp. 1193–1198.
Uzmay, I., Burkan, R., and Sarikaya, H., 2004, “Application of Robust and Adaptive Control Techniques to Cooperative Manipulation,” Control Eng. Pract.
[CrossRef], 12 , pp. 139–148.
Woon, L. C., Ge, S. S., Chen, X. Q., and Zhang, C., 1999, “Adaptive Neural Network Control of Coordinated Manipulators,” J. Rob. Syst.
[CrossRef], 16 (4), pp. 195–211.
Nakayama, T., Arimoto, S., and Naniwa, T., 1995, “Coordinated Learning Control for Multiple Manipulators Holding an Object Rigidly,” "Proceedings of the 1995 IEEE International Conference on Robotics and Automation", Nagoya, Japan, 2 , pp. 1529–1534.
Schneider, S. A., and Cannon, R. H., 1992, “Object Impedance Control for Cooperative Manipulation: Theory and Experimental Results,” IEEE Trans. Rob. Autom.
[CrossRef], 8 (3), pp. 383–394.
Zeng, H., and Sepehri, N., 2005, “Nonlinear Position Control of Cooperative Hydraulic Manipulators Handling Unknown Payloads,” Int. J. Control
[CrossRef], 78 (3), pp. 196–207.
Mulder, M. C., and Malladi, S. R., 1991, “A Minimum Effort Control Algorithm for a Cooperating Sensor Driven Intelligent Multi-Jointed Robotic Arm,” "Proceedings of the 30th IEEE Conference on Decision and Control", Brighton, UK, 2 , pp. 1573–1578.
Zeng, H., and Sepehri, N., 2007, “On Tracking Control of Cooperative Hydraulic Manipulators,” Int. J. Control
[CrossRef], 80 (3), pp. 454–469.
Sutton, R. S., and Barto, A., 1998, "Reinforcement Learning: An Introduction", The MIT Press, Cambridge, MA.
Kaebling, L. P., Littman, M. L., and Moore, A. W., 1996, “Reinforcement Learning: A Survey,” J. Artif. Intell. Res., 4 , pp. 237–285.
Sutton, R. S., 1984, “Temporal Credit Assignment in Reinforcement Learning,” Ph.D. thesis, University of Massachusetts, Amherst.
Russell, S., and Norvig, P., 1995, "Artificial Intelligence: A Modern Approach", Prentice-Hall, Englewood Cliffs, NJ.
Watkins, C. J. C. H., 1989, “Learning With Delayed Rewards,” Ph.D. thesis, Cambridge University, Cambridge.
Williams, R. J., 1992, “Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning,” Mach. Learn., 8 (3), pp. 229–256.
Barto, A., Sutton, R. S., and Anderson, C. W., 1983, “Neuronlike Adaptive Elements That Can Solve Difficult Learning Control Problems,” IEEE Trans. Syst. Man Cybern., 13 , pp. 834–846.
Anderson, C. W., 1989, “Learning to Control an Inverted Pendulum Using Neural Networks,” IEEE Control Syst. Mag.
[CrossRef], 9 (3), pp. 31–37.
Gullapalli, V., Franklin, J. A., and Benbrahim, H., 1994, “Acquiring Robot Skills via Reinforcement Learning,” IEEE Control Syst. Mag.
[CrossRef], 14 , pp. 13–24.
Tzasfestas, S. G., and Rigatos, G. G., 2002, “Fuzzy Reinforcement Learning Control for Compliance Tasks of Robotic Manipulators,” IEEE Trans. Syst., Man, Cybern., Part B: Cybern.
[CrossRef], 32 , pp. 107–113.
Stone, P., and Veloso, M., 2000, “Multiagent Systems: A Survey From a Machine Learning Perspective,” Auton. Rob., 8 , pp. 345–383.
Gullapalli, V., 1990, “Stochastic Reinforcement Learning Algorithm for Learning Real-Valued Functions,” Neural Networks
[CrossRef], 3 (6), pp. 671–692.
Mataric, M. J., 1998, “Using Communication to Reduce Locality in Distributed Multi-Agent Learning,” J. Exp. Theor. Artif. Intell., 10 (3), pp. 357–369.
Merritt, H., 1967, "Hydraulic Control Systems", Wiley, New York.
Karpenko, M., and Sepehri, N., 2003, “Robust Position Control of an Electrohydraulic Actuator With a Faulty Actuator Piston Seal,” ASME J. Dyn. Syst., Meas., Control
[CrossRef], 125 (3), pp. 413–423.
Bishop, C. M., 1995, "Neural Networks for Pattern Recognition", Oxford University Press, New York.