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In imitation learning and adaptive Cartesian tracking (IL-ACT), a novel motion control framework for a 30-ton-class excavator, is proposed, with bounded adaptive states and Cartesian feedback, with reference admissibility conditional on governor feasibility.
Achieving zero inverse kinematics failures while maintaining millimetre-level accuracy in autonomous drilling operations could revolutionize long-reach drilling efficiency.