Spaun, the world's largest functional model of the human brain, has a digital eye, which it uses for visual input, and a robotic arm that it uses to draw its responses. Having a realistic arm that behaves similarly to an actual arm, with appropriate muscle responses and arm segment lengths and mass, is important to getting human-like results.
Researchers attribute the success of the complex arm model to the symbolic computation power and model simplification capabilities of the modeling technology. The model led to highly efficient simulations of controller arms capable of interfacing with different control systems developed on several platforms.
This 30-minute webinar will go over current control algorithms being employed by the model, and their implementation on several complex arm models.
Speakers
Travis DeWolf, Doctoral Candidate, Computational Neuroscience, Research Centre, University of Waterloo
Paul Goossens, Vice President, Engineering Solution Services, Maplesoft
For more information and to register, click here.
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