A team from Carnegie Mellon University’s Robotics Institute (RI) has developed Neural Motion Planning to help improve how robots react in new environments. The data-driven approach uses a single, versatile, artificial intelligence network to perform motion planning in various unfamiliar household environments, like cabinets, dishwashers and refrigerators.
Neural Motion Planning help robots react in new environments
Robot can't react dynamically like humans in unknown environments.
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