Safety-efficiency integrated assembly: The next-stage adaptive task allocation and planning framework for human–robot collaboration
Integrity signals
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Fault-tolerant cooperative robotics faces significant barriers in scalability, computational complexity, and real-world validation.
“Fault-tolerant cooperative robotics faces significant barriers in scalability, computational complexity, and real-world validation, as highlighted across the literature.”
From Hybrid Fault-Tolerant Control in Cooperative Robotics: Advances in Resilience and Scalability (2025) · cites this paper as [12]
Blockchain-based data management with a 256-bit hash mitigates overhead in multi-agent systems, as seen in construction applications.
“Blockchain-based data management with a 256-bit hash further mitigates overhead in multi-agent systems [38], as seen in construction applications [12].”
From Hybrid Fault-Tolerant Control in Cooperative Robotics: Advances in Resilience and Scalability (2025) · cites this paper as [12]
Adaptive collaborative control using algorithms with a 0.1 gain adjustment enhances robustness in human-robot collaboration, reducing task times in construction.
“Adaptive collaborative control, using algorithms with a 0.1 gain adjustment, enhances robustness in human-robot collaboration, reducing task times in construction [12,43].”
From Hybrid Fault-Tolerant Control in Cooperative Robotics: Advances in Resilience and Scalability (2025) · cites this paper as [12]
Efficient algorithms enhance energy use in construction.
“while efficient algorithms enhance energy use in construction [12].”
From Hybrid Fault-Tolerant Control in Cooperative Robotics: Advances in Resilience and Scalability (2025) · cites this paper as [12]
Clarity in performance metrics is a hurdle, with rapid benchmarks improving reliability in construction, yet broader standardization is needed.
“Clarity in performance metrics is another hurdle, with rapid benchmarks improving reliability in construction [12], yet broader standardization is needed.”
From Hybrid Fault-Tolerant Control in Cooperative Robotics: Advances in Resilience and Scalability (2025) · cites this paper as [12]
Construction 5.0 applications demonstrate efficiency gains in human-robot collaboration.
“Construction 5.0 applications demonstrate efficiency gains in HRC [12]”
From Hybrid Fault-Tolerant Control in Cooperative Robotics: Advances in Resilience and Scalability (2025) · cites this paper as [12]
Cited by
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Hybrid Fault-Tolerant Control in Cooperative Robotics: Advances in Resilience and Scalability
Urrea, C. (2025) · Actuators · doi:10.3390/act14040177 · Cited by 19 · see citing works
“Adaptive collaborative control, using algorithms with a 0.1 gain adjustment, enhances robustness in human–robot collaboration, reducing task times in construction [12,43].”
Influential
- Authors
- Zhao, R., Tao, S., & Li, P.
- Affiliations
- Tongji University (CN)
- University of Toyama (JP)
- Corresponding author
- Li, Pengzhong
- Venue
- Robotics and Computer-Integrated Manufacturing
- Publisher
- Elsevier BV
- Published
- 2025-08
- Volume
- 94
- Pages
- 102942
- ISSN
- 0736-5845 (ISSN-L)
- OpenAlex
- W4406123483
- Cited by
- 22
- References
- 0
- Citations by year
- 2026: 10 · 2025: 12
- FWCI
- 8.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 524 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Robotics and Computer-Integrated Manufacturing (publishedVersion)
- Funders
- Tongji University (2023020043)
- Japan Science and Technology Agency (JPMJSP2145)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Scheduling and Optimization Algorithms
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Manufacturing Process and Optimization
- Keywords
- human-robot collaboration, assembly planning, task allocation, safety-efficiency trade-off, execution time optimization, constrained multi-objective optimization, computer assembly
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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