engleski

Autonomous Robotic Task Reasoning in Unpredictable Assembly Conditions

This paper is concerned with designing an intelligent planning system, particularly with planning intelligent robot behavior in automatic assembly processes. Evolving an intelligent robotic behavior reveals three main problems: finding solutions in unknown situations, experience-based learning and identification of a working setting. The paper describes a planning system which integrates the reinforcement learning method with neural network approach.

automatic assembly ; autonomous robot ; intelligent planning ; learning

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