Foundations of robotics: analysis and control
Foundations of robotics: analysis and control
Intelligence without representation
Artificial Intelligence
An Behavior-based Robotics
Adaptive Control: The Model Reference Approach
Adaptive Control: The Model Reference Approach
Digital Signal Processing: A Practical Approach
Digital Signal Processing: A Practical Approach
Adaptive Visual Servoing for Various Kinds of Robot Systems
Proceedings of the 5th International Symposium on Experimental Robotics V
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Finding redundancy with respect to a given task in an environment is important ability for a robot to dynamically assign the degrees of freedom to several tasks. In this paper, an adaptive controller is proposed that does not only estimate appropriate control parameters but also can find redundancy with respect to the given task dynamically. The controller is derived based on a least-mean-square method. A simulation result of a camera-manipulator system is shown to demonstrate that the proposed method can find redundancy automatically.