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

• Publication Date: 04-Aug-2013
• DOI: 10.15224/978-981-07-7227-7-03
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Abstract: The studies that have been carried out so far, the reconstruction process of the phase hologram can be realized by a single phase hologram. In this study, on the basis of a single phase hologram, this process will be carried out with the phase information which is obtained from a single hologram. To reconstruct the test object image, two different methods will be used: (1) the image will be reconstructed with using single phase information of single hologram, (2) the image will be reconstructed with using single phase information of more than one hologram ( In this study 4 holograms are used. ) This method is same of the phase shifting hologram using with 4 holograms. In this study, only used numbers of holograms and also their expressions are different. This method is used in this study for the first time. To obtain the single phase value for holograms, with using different methods, the Fourier transform algorithm will be used. Consequently, the simulations will be achieved in Matlab

• Publication Date: 04-Aug-2013
• DOI: 10.15224/978-981-07-7227-7-04
• Views: 0
• Downloads: 0