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- W2102325330 abstract "The fragmentation of research in AI and robotics has created a vast repertoire of skills a robot could be equipped with but that must be manually integrated to form a complex action. We propose a novel evolutionary algorithm that aims at autonomously integrating, adapting and creating new actions by re-using skills that are either externally provided or previously generated. Complex actions are created by instantiating a Finite State Automaton and new skills are created using fully recurrent neural networks. We validated our approach in two scenarios, i.e. exploration and moving to pre-grasp positions. Our experiments show that complex actions can be created by composing independently developed skills. The results have been applied and tested with a real robot in a variety of scenarios." @default.
- W2102325330 created "2016-06-24" @default.
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- W2102325330 date "2012-03-20" @default.
- W2102325330 modified "2023-09-24" @default.
- W2102325330 title "Autonomous Skills Creation and Integration in Robotics" @default.
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