A general strategy for interactive decision-making in robotic platforms

作者: Florentin Wörgötter , Carme Torras , Alejandro Gabriel Agostini

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摘要: This work presents an intergated strategy for planning and learning suitable to execute tasks with robotic platforms without any previous task specification. The approach rapidly learns operators from few action experiences using a competitive where many alternatives of cause-effect explanations are evaluated in parallel, the most successful ones used generate operators. system operates interruption by integrating planning-learning loop human teacher that supports planner making decisions. All mechanisms integrated synchronized robot general decision-making framework.

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