ReviewJournal of intelligent & robotic systems2021
Multi-Robot Coordination Analysis, Taxonomy, Challenges and Future Scope.
Review in Journal of intelligent & robotic systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Stigmergy and Self-Organizing Systems in Swarm Robotics: A Systematic Review.Sensors (Basel, Switzerland) · 2026Pooled it
- Advances in Sensing, Control and Path Planning for Robotic Systems.Sensors (Basel, Switzerland) · 2026Article
- Development of CoAP protocol for communication in mobile robotic systems using IoT technique.Scientific reports · 2025Article
- A Review of Multi-Robot Systems and Soft Robotics: Challenges and Opportunities.Sensors (Basel, Switzerland) · 2025Review
- FORMIGA: a fleet management framework for sustainable human-robot collaboration in field robotics.Frontiers in robotics and AI · 2025Article
- Mutualisms as a framework for multi-robot collaboration.Frontiers in robotics and AI · 2025Article
- The Energy Efficiency Multi-Robot System and Disinfection Service Robot Development in Large-Scale Complex Environment.Sensors (Basel, Switzerland) · 2023Article
- On the role and opportunities in teamwork design for advanced multi-robot search systems.Frontiers in robotics and AI · 2023Review
- Xiroi II, an Evolved ASV Platform for Marine Multirobot Operations.Sensors (Basel, Switzerland) · 2022Article
- Article
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
Recently, Multi-Robot Systems (MRS) have attained considerable recognition because of their efficiency and applicability in different types of real-life applications. This paper provides a comprehensive research study on MRS coordination, starting with the basic terminology, categorization, application domains, and finally, give a summary and insights on the proposed coordination approaches for each application domain. We have done an extensive study on recent contributions in this research area in order to identify the strengths, limitations, and open research issues, and also highlighted the scope for future research. Further, we have examined a series of MRS state-of-the-art parameters that affect MRS coordination and, thus, the efficiency of MRS, like communication mechanism, planning strategy, control architecture, scalability, and decision-making. We have proposed a new taxonomy to classify various coordination approaches of MRS based on the six broad dimensions. We have also analyzed that how coordination can be achieved and improved in two fundamental problems, i.e., multi-robot motion planning, and task planning, and in various application domains of MRS such as exploration, object transport, target tracking, etc.
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.