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Robots working with humans are expected to be more adaptive to failures of tasks and to have easier communication channels with those co-working humans. With this goal in mind, this paper presents a motion recognition framework for robots including a success/failure classification of tasks based on natural language representation. The proposed method consists of three parts: motion language model,...
Unmanned autonomous vehicles are desired to navigate in unstructured environment considering not only obstacle avoidance but also avoidance of unpreferred vibrations and impacts. Such unpreferred motion properties often depend on nature of terrain and velocity of vehicle, which have not been considered sufficiently. This paper presents an unmanned-vehicle's motion optimization method based on such...
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