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• W946374493 abstract "Object handling has been a challenging operation at the microscale level. In order to manipulate these micro-objects within a confined workspace, it is inevitably imperative for the handling tool to be manipulated along an unobstructed trajectory or path. In addition, the presence of undesirable adhesion force can cause the object to adhere to the tool, making the release process problematic. This work presents the development of an automated dual-arm micromanipulation process to overcome these challenges in micro-object handling. The two probes of the dual-arm micromanipulation system were individually controlled to manipulate a micro-sphere lying on top of a glass substrate. A potential field path-planning algorithm was employed to evaluate the paths for positioning of the two probes and prevent the probes from undergoing collisions. To release the grasped micro-sphere after manipulation with minimal adhesion force, the orientations of two probes were reconfigured to reduce the contact area with the sphere. Vision images obtained from a top-view CCD camera were utilized to evaluate the contour of the sphere for automatic reconfiguration of the two probes. Experimental results confirmed that the two probes can be manipulated to grasp the targeted micro-sphere from arbitrary positions and the incorporation of the probe reconfiguration scheme yields a higher success rate for sphere release. Micro-object handling through an automated dual-arm micromanipulation system.Image processing to detect the targeted object and other obstacles.Generation of collision-free paths for the two probes via artificial potential field.Probe reconfiguration scheme to minimize the adhesion for object release." @default.
• W946374493 created "2016-06-24" @default.
• W946374493 creator A5001918826 @default.
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• W946374493 date "2015-12-01" @default.
• W946374493 modified "2023-09-25" @default.
• W946374493 title "Automated dual-arm micromanipulation with path planning for micro-object handling" @default.
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• W946374493 doi "https://doi.org/10.1016/j.robot.2015.07.012" @default.
• W946374493 hasPublicationYear "2015" @default.
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