17 March 2017 Fast grasping of unknown objects using cylinder searching on a single point cloud
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Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 1034108 (2017) https://doi.org/10.1117/12.2268422
Event: Ninth International Conference on Machine Vision, 2016, Nice, France
Abstract
Grasping of unknown objects with neither appearance data nor object models given in advance is very important for robots that work in an unfamiliar environment. The goal of this paper is to quickly synthesize an executable grasp for one unknown object by using cylinder searching on a single point cloud. Specifically, a 3D camera is first used to obtain a partial point cloud of the target unknown object. An original method is then employed to do post treatment on the partial point cloud to minimize the uncertainty which may lead to grasp failure. In order to accelerate the grasp searching, surface normal of the target object is then used to constrain the synthetization of the cylinder grasp candidates. Operability analysis is then used to select out all executable grasp candidates followed by force balance optimization to choose the most reliable grasp as the final grasp execution. In order to verify the effectiveness of our algorithm, Simulations on a Universal Robot arm UR5 and an under-actuated Lacquey Fetch gripper are used to examine the performance of this algorithm, and successful results are obtained.
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Qujiang Lei, Qujiang Lei, Martijn Wisse, Martijn Wisse, } "Fast grasping of unknown objects using cylinder searching on a single point cloud", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034108 (17 March 2017); doi: 10.1117/12.2268422; https://doi.org/10.1117/12.2268422
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