ArticleFrontiers in robotics and AI2018
Cooperative Object Transport in Multi-Robot Systems: A Review of the State-of-the-Art.
Article in Frontiers in robotics and AI, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- A mechanical route for cooperative transport in autonomous robotic swarms.Nature communications · 2025Article
- A Review of Multi-Robot Systems and Soft Robotics: Challenges and Opportunities.Sensors (Basel, Switzerland) · 2025Review
- Mutualisms as a framework for multi-robot collaboration.Frontiers in robotics and AI · 2025Article
- Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey.Sensors (Basel, Switzerland) · 2023Review
- Remote Modular Electronics for Wireless Magnetic Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Article
- Cooperative Object Transportation Using Curriculum-Based Deep Reinforcement Learning.Sensors (Basel, Switzerland) · 2021Article
- Genetic Fuzzy Based Scalable System of Distributed Robots for a Collaborative Task.Frontiers in robotics and AI · 2020Article
- Kinematic Modeling of a Combined System of Multiple Mecanum-Wheeled Robots with Velocity Compensation.Sensors (Basel, Switzerland) · 2019Article
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
No grant is acknowledged in the PubMed record.
Abstract
In recent years, there has been a growing interest in designing multi-robot systems (hereafter MRSs) to provide cost effective, fault-tolerant and reliable solutions to a variety of automated applications. Here, we review recent advancements in MRSs specifically designed for cooperative object transport, which requires the members of MRSs to coordinate their actions to transport objects from a starting position to a final destination. To achieve cooperative object transport, a wide range of transport, coordination and control strategies have been proposed. Our goal is to provide a comprehensive summary for this relatively heterogeneous and fast-growing body of scientific literature. While distilling the information, we purposefully avoid using hierarchical dichotomies, which have been traditionally used in the field of MRSs. Instead, we employ a coarse-grain approach by classifying each study based on the transport strategy used; pushing-only, grasping and caging. We identify key design constraints that may be shared among these studies despite considerable differences in their design methods. In the end, we discuss several open challenges and possible directions for future work to improve the performance of the current MRSs. Overall, we hope to increasethe visibility and accessibility of the excellent studies in the field and provide a framework that helps the reader to navigate through them more effectively.
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.