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Path Planning for 3-D In-Hand Manipulation of Micro-Objects Using Rotation Decomposition

Pardeep Kumar, Michaël Gauthier, Redwan Dahmouche

发表年份
2021
引用次数
3
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摘要

Robotic manipulation and assembly of micro and nanocomponents in confined spaces is still a challenge. Indeed, the current proposed solutions that are highly inspired by classical industrial robotics are not currently able to combine precision, compactness, dexterity, and high blocking forces. In a previous work, we proposed 2-D in-hand robotic dexterous manipulation methods of arbitrary shaped objects that considered adhesion forces that exist at the micro and nanoscales. Direct extension of the proposed method to 3-D would involve an exponential increase in complexity. In this paper, we propose an approach that allows to plan for 3-D dexterous in-hand manipulation with a moderate increase in complexity. The main idea is to decompose any 3-D motion into a 3-D translation and three rotations about specific axes related to the object. The obtained simulation results show that 3-D in-hand dexterous micro-manipulation of arbitrary objects in presence of adhesion forces can be planned in just few seconds.

关键词

Rotation (mathematics)Translation (biology)RoboticsArtificial intelligencePath (computing)Computer scienceObject (grammar)Motion (physics)Motion planningPlan (archaeology)

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