Manifold traversing as a model for learning control of autonomous robots

Zoltan F. Szakaly; Paul S. Schenker

doi:10.1117/12.57962

30 April 1992 Manifold traversing as a model for learning control of autonomous robots

Zoltan F. Szakaly, Paul S. Schenker

Proceedings Volume 1611, Sensor Fusion IV: Control Paradigms and Data Structures; (1992) https://doi.org/10.1117/12.57962
Event: Robotics '91, 1991, Boston, MA, United States

Abstract

This paper describes a recipe for the construction of control systems that support complex machines such as multi-limbed/multi-fingered robots. The robot has to execute a task under varying environmental conditions and it has to react reasonably when previously unknown conditions are encountered. Its behavior should be learned and/or trained as opposed to being programmed. The paper describes one possible method for organizing the data that the robot has learned by various means. This framework can accept useful operator input even if it does not fully specify what to do, and can combine knowledge from autonomous, operator assisted and programmed experiences.

Citation Download Citation

Zoltan F. Szakaly and Paul S. Schenker "Manifold traversing as a model for learning control of autonomous robots", Proc. SPIE 1611, Sensor Fusion IV: Control Paradigms and Data Structures, (30 April 1992); https://doi.org/10.1117/12.57962

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