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Multi-agent Control for Stochastic Optical Manipulation Systems

Quang Minh Ta, Chien Chern Cheah

2020IEEE/ASME Transactions on Mechatronics23 citationsDOI

Abstract

In this article, we propose a multi-agent robot control framework for coordinated manipulation of multiple micro-objects with Brownian perturbations. In this control approach, several micro-hands with multiple fingertips are first constructed by coordination of optically trapped particles so as to grasp the target micro-objects. The grasped micro-objects are then cooperatively manipulated through coordinative control of the micro-hands with multiple fingertips. While current optical manipulation techniques are heavily dependent on the physical properties of the manipulated micro-objects, this article offers a multi-agent robot control framework for coordinated manipulation of multiple micro-objects with arbitrary types in the microworld. The control problem is rigorously formulated with the consideration of the Brownian effect, and the stability of the control system is analyzed from a stochastic perspective. The effectiveness of the proposed control technique is validated with experimental results.

Topics & Concepts

GRASPBrownian motionControl (management)Computer sciencePerspective (graphical)Stability (learning theory)RobotControl engineeringControl theory (sociology)Artificial intelligenceEngineeringMathematicsMachine learningProgramming languageStatisticsOrbital Angular Momentum in OpticsMicro and Nano RoboticsMicrofluidic and Bio-sensing Technologies
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