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Cited by 265

The DOI matches its Crossref record; 174 of the 174 references it cites were found in a registry or an index.

Proactive human–robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives

Open access
Li, Shufei, Zheng, Pai, Liu, Sichao, Wang, Zuoxu, Wang, Xi Vincent, Zheng, Lianyu, Wang, Lihui·2023·Robotics and Computer-Integrated Manufacturing

Abstract

Human–Robot Collaboration (HRC) has a pivotal role in smart manufacturing for strict requirements of human-centricity, sustainability, and resilience. However, existing HRC development mainly undertakes either a human-dominant or robot-dominant manner, where human and robotic agents reactively perform operations by following pre-defined instructions, thus far from an efficient integration of robotic automation and human cognition. The stiff human–robot relations fail to be qualified for complex manufacturing tasks and cannot ease the physical and psychological load of human operators. In response to these realistic needs, this paper presents our arguments on the obvious trend, concept, systematic architecture, and enabling technologies of Proactive HRC, serving as a prospective vision and research topic for future work in the human-centric smart manufacturing era. Human–robot symbiotic relation is evolving with a 5C intelligence — from Connection, Coordination, Cyber, Cognition to Coevolution, and finally embracing mutual-cognitive, predictable, and self-organising intelligent capabilities, i.e., the Proactive HRC. With proactive robot control, multiple human and robotic agents collaboratively operate manufacturing tasks, considering each others’ operation needs, desired resources, and qualified complementary capabilities. This paper also highlights current challenges and future research directions, which deserve more research efforts for real-world applications of Proactive HRC. It is hoped that this work can attract more open discussions and provide useful insights to both academic and industrial practitioners in their exploration of human–robot flexible production.

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Metadata

Authors
Li, S., Zheng, P., Liu, S., Wang, Z., Wang, X. V., Zheng, L., & Wang, L.
Venue
Robotics and Computer-Integrated Manufacturing
Publisher
Elsevier BV
Published
2023-06
Volume
81
Pages
102510
ISSN
0736-5845 (ISSN-L)
OpenAlex
W4313453017
Cited by
265
References
174
FWCI
21.92
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Proactive human–robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives. https://app.cochat.ai/papers/10.1016/j.rcim.2022.102510
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Li, S., Zheng, P., Liu, S., Wang, Z., Wang, X. V., Zheng, L., & Wang, L. (2023). Proactive human–robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives. Robotics and Computer-Integrated Manufacturing. https://doi.org/10.1016/j.rcim.2022.102510

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