Robotics
Harnessing human expertise for high-precision robotic assembly in industrialized construction: A sample-efficient installer-in-the-loop interactive reinforcement learning framework
Closing the gap between human expertise and robotic precision in prefabricated modular assembly.
Industrialized construction imposes stringent precision requirements on robotic assembly of modular components such as prefabricated window units. In tolerance-critical operations, the central bottleneck is not only mechanical clearance but also converting tacit installer experti...
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ArXiv CS.RO
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ArXiv CS.RO
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This framework bridges the gap between human intuition and machine precision by allowing robots to learn from expert feedback in real-time. By utilizing sample-efficient reinforcement learning, it significantly reduces the data overhead required to master complex assembly tasks in construction.
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