Modelling of objects grasping with neural networks in the iCub robotic simulator.

Design and implement neural model to enable a quasi-naturally object grasping in the iCub robotic simulator environment with usage of visual feedback. Implement the module in C/C++ language and test it on various solid objects seizable with one hand.

Master thesis leader (consultant): doc. Ing. Igor Farkaš, PhD.


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