Analysis and solution of a predator–protector–prey multi-robot system by a high-level reinforcement learning architecture and the adaptive systems theory

Martı́n, Humberto; Lope, Javier de; Maravall, Darío

doi:10.1016/j.robot.2010.08.005

Cited by 5 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although the members of a MRS can be designed or programmed to compete with each other (see Martín H. et al, 2010 ), the majority of the previous studies have investigated how group members can work together to achieve a common goal (i.e., cooperation). However, so far the scientific community has failed to agree on a formal definition for cooperation.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Object Transport in Multi-Robot Systems: A Review of the State-of-the-Art

Tuci¹,

Alkilabi²,

Akanyeti³

2018

Front. Robot. AI

165

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

Cooperative Object Transport in Multi-Robot Systems: A Review of the State-of-the-Art

Tuci¹,

Alkilabi²,

Akanyeti³

2018

Front. Robot. AI

165

View full text Add to dashboard Cite

show abstract

Synchronous intercept strategies for a robotic defense-intrusion game with two defenders

et al. 2020

View full text Add to dashboard Cite

We study the defense-intrusion game, in which a single attacker robot tries to reach a stationary target that is protected by two defender robots. We focus on the "synchronous intercept problem", where both robots have to reach the attacker robot synchronously to intercept it. Assume that the attacker robot has the control policy which is based on attraction to the target and repulsion from the defenders, two kinds of synchronous intercept strategies are proposed for the defense-intrusion game, introduced here as Attackeroriented and Neutral-position-oriented. Theoretical analysis and simulation results show that: (1) The two strategies are able to generate different synchronous intercept patterns: contact intercept pattern and stable non-contact intercept pattern, respectively. (2) The contact intercept pattern allows the defender robots to intercept the attacker robot in finite time, while the stable non-contact intercept pattern generates a periodic attractor that prevents the attack robot from reaching the target for infinite time. There is potential to apply the insights obtained into defense-intrusion in real systems, including aircraft escort and the defense of military targets or territorial boundaries.

show abstract

Flock of Robots with Self-Cooperation for Prey-Predator Task

Ordaz-Rivas

Rodríguez-Liñán

Torres-Treviño

2021

J Intell Robot Syst

View full text Add to dashboard Cite

Analysis and solution of a predator–protector–prey multi-robot system by a high-level reinforcement learning architecture and the adaptive systems theory

Cited by 5 publications

References 10 publications

Cooperative Object Transport in Multi-Robot Systems: A Review of the State-of-the-Art

Cooperative Object Transport in Multi-Robot Systems: A Review of the State-of-the-Art

Synchronous intercept strategies for a robotic defense-intrusion game with two defenders

Flock of Robots with Self-Cooperation for Prey-Predator Task

Contact Info

Product

Resources

About