Neuron-Based Control Mechanisms for a Robotic Arm and Hand

Computational neuroscience
DOI: 10.5281/zenodo.1128871 Publication Date: 2017-01-03
ABSTRACT
A robotic arm and hand controlled by simulated neurons is presented. The robot makes use of a biological neuron simulator using point neural model. synapses are organised to create finite state automaton including inputs from sensors, outputs effectors. performs simple pick-and-place task. This work proof concept study for longer term approach. It hoped that further will lead more effective flexible robots. As another benefit, it also better understanding human other animal processing, particularly physical motion. multidisciplinary approach combining cognitive neuroscience, robotics, psychology.
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