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This research investigates innovative force control methods specifically tailored for non-linear control systems in robotics, focusing on dynamic vision and real-time image processing applications. Key areas include the management of motion and contacting force in robot manipulators during surgery and industrial tasks such as painting, deburring, and grinding. By exploring the transition between free motion and constrained motion/force control, this study addresses the complexities of collision dynamics and nonlinear frictions, proposing effective control schemes that ensure stability and smooth operation in dynamic environments.
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Research Topics Dr. Ming Liu • Force control • Non-linear control systems • Decentralised control • Dynamic vision • Real-time image processing
Applications • Surgery robots • Master-slave systems • Remote controlled surgery robots • Painting, Deburring and Grinding • Assembling
Control the motion and contacting force of a robot manipulator while it keeps moving and contacting with the environment. • Ensure the smooth transition from free motion control to constrained motion/force control. • Collision dynamics needs to be carefully studies. • Nonlinear frictions become dominant.
Force control scheme by N. H. Quach and M. Liu • Based on the investigation on the transit dynamics from free motion to restrained motion/force control some effective control schemes have been proposed which • ensures the smooth transition and asymptotic stability. • takes the complicated friction dynamics into account.
Simulation results • Task defined robot tip trajectory defined
Work space trajectory planning robot arm
Collision Phase - from free motion mode to constrained force/motion mode ref trajectory environment surface real trajectory x force applied to the surface = kx collision point