ReviewSensors (Basel, Switzerland)2023
Human-Robot Collaborations in Smart Manufacturing Environments: Review and Outlook.
Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Cloud-assisted IoRT framework for latency-aware analytical kinematic control of a six-DOF robotic manipulator.Scientific reports · 2026Article
- From LLMs to AI agents: a systematic benchmark for SAO structure extraction in patent analytics.Scientific reports · 2026Article
- Model predictive game control for personalized and targeted interactive assistance.Communications engineering · 2026Article
- Human motion recognition and prediction using loose cloth.Nature communications · 2026Article
- Integrating Worker and Food Safety in Poultry Processing Through Human-Robot Collaboration: A Comprehensive Review.Foods (Basel, Switzerland) · 2026Review
- Biomimetic Approach to Designing Trust-Based Robot-to-Human Object Handover in a Collaborative Assembly Task.Biomimetics (Basel, Switzerland) · 2025Article
- A Visual Dataset for Anomaly Detection in Self-Driving Laboratories.Scientific data · 2025Article
- Digital Twins for Personalized Medicine Require Epidemiological Data and Mathematical Modeling: Viewpoint.Journal of medical Internet research · 2025Article
- Industrial Robotics and the Future of Work.American journal of industrial medicine · 2025Review
- Internet of Robotic Things: Current Technologies, Challenges, Applications, and Future Research Topics.Sensors (Basel, Switzerland) · 2025Review
- Editorial: Human-robot interaction in industrial settings: new challenges and opportunities.Frontiers in robotics and AI · 2025Article
- Towards a Human-Centric Digital Twin for Human-Machine Collaboration: A Review on Enabling Technologies and Methods.Sensors (Basel, Switzerland) · 2024Review
- Examining the integration of artificial intelligence in supply chain management from Industry 4.0 to 6.0: a systematic literature review.Frontiers in artificial intelligence · 2024Review
- Integrating collaborative robots in manufacturing, logistics, and agriculture: Expert perspectives on technical, safety, and human factors.Frontiers in robotics and AI · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The successful implementation of Human-Robot Collaboration (HRC) has become a prominent feature of smart manufacturing environments. Key industrial requirements, such as flexibility, efficiency, collaboration, consistency, and sustainability, present pressing HRC needs in the manufacturing sector. This paper provides a systemic review and an in-depth discussion of the key technologies currently being employed in smart manufacturing with HRC systems. The work presented here focuses on the design of HRC systems, with particular attention given to the various levels of Human-Robot Interaction (HRI) observed in the industry. The paper also examines the key technologies being implemented in smart manufacturing, including Artificial Intelligence (AI), Collaborative Robots (Cobots), Augmented Reality (AR), and Digital Twin (DT), and discusses their applications in HRC systems. The benefits and practical instances of deploying these technologies are showcased, emphasizing the substantial prospects for growth and improvement in sectors such as automotive and food. However, the paper also addresses the limitations of HRC utilization and implementation and provides some insights into how the design of these systems should be approached in future work and research. Overall, this paper provides new insights into the current state of HRC in smart manufacturing and serves as a useful resource for those interested in the ongoing development of HRC systems in the industry.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.