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Titlebook: Biologically Inspired Control of Humanoid Robot Arms; Robust and Adaptive Adam Spiers,Said Ghani Khan,Guido Herrmann Book 2016 Springer In

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https://doi.org/10.1007/978-3-319-30160-0Bio-inspired Control; Robot Arm Control; Humanoid Robots; Robust Control; Task and Posture Control; Bio-m
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978-3-319-80735-5Springer International Publishing Switzerland 2016
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Data Mining with Rule Induction,ing increasingly feasible for more reasonable costs. As a result, various research laboratories and other organisations have developed custom humanoid systems (e.g. Sakagami et al. .; Sandini et al. .; Elumotion .; Guizzo .; Park et al. .; Kaneko et al. .; Willow Garage .; Nelson et al. .; Dynamics 
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Elizabeth Wu,Wei Liu,Sanjay Chawlaersity of tasks that can be performed to the potential with which such a robot may integrate into (and make use of) an environment that has already been designed around humans. This introductory chapter highlights some of the basic concepts of humanoid robots, further explaining the benefits and cha
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Marko Brunzel,Myra SpiliopoulouUnder particular scrutiny is the posture (position of redundant DOF) of humans when performing overhead reaching actions. By using ‘effort’ optimisation criteria in the posture scheme of an operational space controller, it is possible to reproduce the natural folding and unfolding action observed in
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https://doi.org/10.1007/978-3-658-02002-6 lead to non-human postures in certain conditions. Such postures are not only unnatural but can also damage the robot hardware. A method of overcoming these postures using an anatomically inspired potential field approach is proposed and implemented. A technique for visualising the end-effector traj
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