Abstract:Humanoid robots are increasingly used to perform human mimicking tasks, such as walking, grasping, standing and sitting on objects. To generate poses interactively using a humanoid robot, the performed poses should be controlled to satisfy any potential interaction with the surrounding environment. In this paper, a simulated humanoid robot "NAO" is used to discover a fitness-based optimal sitting pose performed on various types of sittable-objects, varying in shape and height. Using an initial set of random va… Show more
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