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Proceedings of

International Conference on Advances In Computer and Electronics Technology ACET 2013

"ADAPTIVE HUMANOID ROBOT ARM MOTION GENERATION BY EVOLVED NEURAL CONTROLLERS"

GENCI CAPI MARSEL MANO MITSUKI KITANI
DOI
10.15224/978-981-07-7227-7-03
Pages
11 - 16
Authors
3
ISBN
978-981-07-7227-7

Abstract: “Adaptive Humanoid Robot Arm Motion Generation by Evon this paper, we present a new method for humanoid robot arm motion planning satisfying multiple constraints. In our method, the humanoid robot arm motion generation is formulated as an optimization problem. Four different constraints, which cover a wide range of humanoid robot tasks, are considered: minimum time, minimum distance, robot hand acceleration and constant joint angular velocity. Results show that arm motions have different characteristics. In order to further verify the performance of humanoid robot arm motions, they are transferred in humanoid robot mobile platform. lved Neural Controllers”

Keywords: Humanoid mobile robot, motion planning, neural networks, genetic algorithms

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