MIT's Maverick Approach to Safe and Reliable AI Autopilots.

TL;DR Summary
MIT researchers have developed an AI-based method to improve safety and stability in autonomous robots, successfully addressing the ‘stabilize-avoid’ problem. Using a two-step approach involving deep reinforcement learning and mathematical optimization, the method was effectively tested on a simulated jet aircraft. This could have future applications in dynamic robots requiring safety and stability, like autonomous delivery drones.
Topics:science#ai#autonomous-robots#deep-reinforcement-learning#mathematical-optimization#mit#safety-and-stability
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