Wheeled, flying and six-legged robots stay on track with new learning method

Aerospace engineering researchers at the University of Illinois Urbana-Champaign's Grainger College of Engineering combined reinforcement learning with control theory in a new method that guarantees robot stability and improves tracking performance by up to 15% compared with existing methods, for wheeled, flying and six-legged robots.

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