Physics-infused Learning for Aerial Manipulator in Winds and Near-Wall Environments
Physics-infused Learning for Aerial Manipulator in Winds and Near-Wall Environments explores A physics-informed learning approach for aerial manipulators enables robust operation in windy, near-wall environments, opening up infrastructure inspection and maintenance applications.. Commercial viability score: 7/10 in Robotics.
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