The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2019
Session ID : 2A2-C06
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Sliding motion planning using uncertain 3D shape with Gaussian Process Implicit Surface
*Tomoya MIYAMOTOHikaru SASAKITakamitsu MATSUBARA
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Abstract

In this paper, we propose a sliding motion planning using uncertain 3D shape information with a Gaussian Process Implicit Surface (GPIS). A GPIS model represents the shape and its uncertainty of object firstly introduces how to judge unevenness using a GPIS model. Then, a sliding motion planning method that takes the convexity and concavity of the local surface into account is presented. Finally, we conduct verification experiments for the target trajectory in consideration of the uncertainty of the object by physical simulation and confirm the effectiveness of our proposed method.

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© 2019 The Japan Society of Mechanical Engineers
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