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| M.T. Rosenstein, A.H. Fagg, R. Platt, J.D. Sweeney, and R.A. Grupen. Remote supervisory control of a humanoid robot. In Proceedings of the Twentieth National Conference on Artificial Intelligence, pp. 1702-1703, 2005. | |
| Abstract: For this demonstration, participants have the opportunity to control a humanoid robot located hundreds of miles away. The general task is to reach, grasp, and transport various objects in the vicinity of the robot. Although remote "pick-and-place" operations of this sort form the basis of numerous practical applications, they are frequently error-prone and fatiguing for human operators. Participants can experience the relative difficulty of remote manipulation both with and without the use of an assistive interface. This interface simplifies the task by injecting artificial intelligence in key places without seizing higher-level control from the operator. In particular, we demonstrate the benefits of two key components of the system: a video display of predicted operator intentions, and a haptic-based controller for automated grasping. | |
| Download: pdf (138KB), | |
| See also: | |
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User intentions funneled through a
human-robot interface | |
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Robot learning with predictions of
operator intent | |
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Supervised actor-critic reinforcement
learning | |
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updated 13-Dec-2005 mtr@cs.umass.edu |