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AI training helps remote-controlled buggy negotiate rugged terrain

McGill University researchers say they’ve developed a technique to train a remote-controlled, offroad car to drive on terrain from aerial and first-person imagery. Their hybrid approach accounts for terrain roughness and obstacles using on-board sensors, enabling it to generalize to environments with vegetation, rocks, and sandy trails. The work is preliminary, but it might hold […]