SynthesisSensors (Basel, Switzerland)2023
Human-Robot Interaction in Agriculture: A Systematic Review.
Synthesis 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 9 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
9 citing papers in PubMed.
- Agricultural Cyber-Physical Systems: Research Progress in Perception-Driven Multi-Robot Coordination and Logistics in Unstructured Environments.Sensors (Basel, Switzerland) · 2026Review
- A Multimodal Agentic AI Framework for Intuitive Human-Robot Collaboration.Sensors (Basel, Switzerland) · 2026Article
- Challenges and Practices in Perishable Food Supply Chain Management in Remote Indigenous Communities: A Scoping Review and Conceptual Framework for Enhancing Food Access.International journal of environmental research and public health · 2026Article
- Interactive graph emotion recognition based on multi-modal data enhancement.Scientific reports · 2026Article
- OsirisFrontiers in robotics and AI · 2026Article
- VR for Situational Awareness in Real-Time Orchard Architecture Assessment.Sensors (Basel, Switzerland) · 2025Article
- Digital Twins in Agriculture and Forestry: A Review.Sensors (Basel, Switzerland) · 2024Review
- Sensors and Robotics for Digital Agriculture.Sensors (Basel, Switzerland) · 2023Article
- OSH related risks and opportunities for industrial human-robot interaction: results from literature and practice.Frontiers in robotics and AI · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the pursuit of optimizing the efficiency, flexibility, and adaptability of agricultural practices, human-robot interaction (HRI) has emerged in agriculture. Enabled by the ongoing advancement in information and communication technologies, this approach aspires to overcome the challenges originating from the inherent complex agricultural environments. Τhis paper systematically reviews the scholarly literature to capture the current progress and trends in this promising field as well as identify future research directions. It can be inferred that there is a growing interest in this field, which relies on combining perspectives from several disciplines to obtain a holistic understanding. The subject of the selected papers is mainly synergistic target detection, while simulation was the main methodology. Furthermore, melons, grapes, and strawberries were the crops with the highest interest for HRI applications. Finally, collaboration and cooperation were the most preferred interaction modes, with various levels of automation being examined. On all occasions, the synergy of humans and robots demonstrated the best results in terms of system performance, physical workload of workers, and time needed to execute the performed tasks. However, despite the associated progress, there is still a long way to go towards establishing viable, functional, and safe human-robot interactive 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.