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Nvidia is seeking to patent a system for “reactive interactions” for robotic applications and automated systems. The system uses machine learning to allow for “predictive control of a robot” while it’s performing certain tasks, allowing it to react to unexpected movements to avoid hurting the person working with it. The system picks up “current state information” about its surrounding environment to determine what tasks it can perform and how it can perform them. It then plans out the most optimal path of motion while avoiding collisions or obstacles, and minimizing “cost factors or functions” such as additional unnecessary movements. The system also modifies or optimizes its actions as it performs them, using computer vision to keep a constant watch on environmental factors and “contact detection” with the human it’s working with.