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The dynamics of deformable objects, especially that of highly flexible articles of clothing, is difficult to model. This is due to their vast number of degrees of freedom in addition to the noisy and incomplete measurements robots have to cope with. Therefore, we suggest focusing on the structures and object parts which are relevant to the task at hand. The openings (e.g., at the waist, leg or sleeve...
Brain-machine interfaces open a direct channel between a brain and a robot. This channel is commonly used to provide direct and active input to the robot, resulting in a tele-operation system. We argue in favor of a more passive brainmachine interface as a means for human-robot interaction. There, the brain signals of the human interaction partner are constantly monitored and decoded to detect particular...
The control of multilegged robots is challenging because of the large number of sensors and actuators involved. However, the regularity inherent to gait control can be taken into account to design controllers for multilegged robots. In this paper, we show that NEATfields, a method designed for the evolution of large neural networks, can exploit this regularity to evolve significantly better gaits...
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