SynthesisSensors (Basel, Switzerland)2022
Augmented Reality for Human-Robot Collaboration and Cooperation in Industrial Applications: A Systematic Literature Review.
Synthesis in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- A Robotic Teleoperation System Enhanced by Augmented Reality for Natural Human-Robot Interaction.Cyborg and bionic systems (Washington, D.C.) · 2024Article
- Human Operation Augmentation through Wearable Robotic Limb Integrated with Mixed Reality Device.Biomimetics (Basel, Switzerland) · 2023Article
- Human-Robot Collaborations in Smart Manufacturing Environments: Review and Outlook.Sensors (Basel, Switzerland) · 2023Review
- Analysis of the Snake Robot Kinematics with Virtual Reality Visualisation.Sensors (Basel, Switzerland) · 2023Article
- Benchmarking Built-In Tracking Systems for Indoor AR Applications on Popular Mobile Devices.Sensors (Basel, Switzerland) · 2022Article
- Task-Oriented Evaluation of the Feasible Kinematic Directional Capabilities for Robot Machining.Sensors (Basel, Switzerland) · 2022Article
- What Is Significant in Modern Augmented Reality: A Systematic Analysis of Existing Reviews.Journal of imaging · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
With the continuously growing usage of collaborative robots in industry, the need for achieving a seamless human-robot interaction has also increased, considering that it is a key factor towards reaching a more flexible, effective, and efficient production line. As a prominent and prospective tool to support the human operator to understand and interact with robots, Augmented Reality (AR) has been employed in numerous human-robot collaborative and cooperative industrial applications. Therefore, this systematic literature review critically appraises 32 papers' published between 2016 and 2021 to identify the main employed AR technologies, outline the current state of the art of augmented reality for human-robot collaboration and cooperation, and point out future developments for this research field. Results suggest that this is still an expanding research field, especially with the advent of recent advancements regarding head-mounted displays (HMDs). Moreover, projector-based and HMDs developed approaches are showing promising positive influences over operator-related aspects such as performance, task awareness, and safety feeling, even though HMDs need further maturation in ergonomic aspects. Further research should focus on large-scale assessment of the proposed solutions in industrial environments, involving the solution's target audience, and on establishing standards and guidelines for developing AR assistance systems.
Indexed as
Identifiers
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.