Distributed object manipulation (Back)


We are interested in distributed object manipulations because of its futuristic applications in addition to existing challenges in design of distributed cooperation and control protocols. Unlike many other multi-robot tasks, distributed object manipulation requires close coordination. In addition, object manipulation poses great challenges to learning methods.
In this research our goal is to devise a set of hand designed coordination and cooperation protocols for distributed object manipulation by mobile robots. In addition, we try to tailor reinforcement learning for learning required individual skills and coordination protocols. Our approach to learning distributed object manipulation is exploiting learned knowledge in individual mode for speeding up learning cooperation protocols, which is quite effective and promising. 




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