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MIT researchers have developed a new machine-learning technique that can solve complex stabilize-avoid problems better than existing methods. In an experiment, their technique effectively piloted a simulated jet aircraft through a narrow corridor without crashing into the ground. The technique matches or exceeds the safety of existing methods while providing a tenfold increase in stability. The paper will be presented at the Robotics: Science and Systems conference.
