A newly developed AI control system using neuron-inspired learning enables soft robotic arms to learn a broad set of motions ...
Abstract: Mobility in daily unstructured environments, particularly in human-centered scenarios, remains a fundamental challenge for mobile robots. While traditional prediction-based approaches ...
After five months of intensive engineering, coding, and strategic collaboration, the Gunston School’s robotics team, the Honey Nut Gearios (Team 9530), ...
Abstract: Archaeological excavations are intricate processes requiring precision, efficiency, and safety particularly in confined or hazardous environments. This paper presents the Artifact-Seeking ...
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