March 22, 2024, 4:43 a.m. | Yehor Karpichev, Todd Charter, Homayoun Najjaran

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.14597v1 Announce Type: cross
Abstract: The rise of automation has provided an opportunity to achieve higher efficiency in manufacturing processes, yet it often compromises the flexibility required to promptly respond to evolving market needs and meet the demand for customization. Human-robot collaboration attempts to tackle these challenges by combining the strength and precision of machines with human ingenuity and perceptual understanding. In this paper, we conceptualize and propose an implementation framework for an autonomous, machine learning-based manipulator that incorporates human-in-the-loop …

abstract arxiv automation challenges collaboration cs.hc cs.lg cs.ro customization demand efficiency extended reality flexibility human loop manufacturing market processes reality robot type

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