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.

This paper presents a new approach of planar trajectory generation for automated in-hand dexterous manipulation of miniaturized objects. The proposed method aims at improving the efficiency of the previous method [17] to be able to perform real-time in-hand manipulation trajectories generation. The main idea behind this new method is the representation of the configuration space as a set of stable rotations instead of stable grasps as it is usually done. The consequence of this representation is a more compact space that encapsulates more information. The developed algorithm that uses this approach is able to generate optimal trajectories to manipulate complex objects in less than 0.1 s, which represents a reduction in the processing time between 10 2 and 10 5 compared to the previous method.

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