Multi-Robot Systems and Cooperative Object Transport: Communications, Platforms, and Challenges
Multi-robot systems gain considerable attention due to lower cost, better robustness, and higher scalability as compared with single-robot systems. Cooperative object transport, as a well-known use case of multi-robot systems, shows great potential in ...
Xing An +5 more
doaj +4 more sources
A Multi-Robot Task Allocation Method Based on the Synergy of the K-Means++ Algorithm and the Particle Swarm Algorithm [PDF]
Addressing challenges in the traditional K-means algorithm, such as the challenge of selecting initial clustering center points and the lack of a maximum limit on the number of clusters, and where the set of tasks in the clusters is not reasonably sorted
Youdong Yuan +3 more
doaj +2 more sources
LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments [PDF]
Search and rescue with a team of heterogeneous mobile robots in unknown and large-scale underground environments requires high-precision localization and mapping. This crucial requirement is faced with many challenges in complex and perceptually-degraded
Yun Chang +11 more
semanticscholar +1 more source
Research Progress of Multi-Robot Collaborative SLAM Technology [PDF]
Because of the limitations of single-robot Simultaneous Localization and Mapping(SLAM) technology in practical applications, multi-robot collaborative SLAM technology has received extensive attention from researchers with its strong flexibility and ...
LIU Xin, WANG Zhong, QIN Mingxing
doaj +1 more source
Research on Multi-robot Formation Control Based on Speed Compensation Algorithm [PDF]
In order to solve the problems of complex algorithm of traditional leader-follower method in formation control of multi-robot system and difficulty in completing circular formation of multi-robot system with common formation control law, the formation ...
ZHANG Fangfang +2 more
doaj +1 more source
Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems [PDF]
Multi-robot simultaneous localization and mapping (SLAM) is a crucial capability to obtain timely situational awareness over large areas. Real-world applications demand multi-robot SLAM systems to be robust to perceptual aliasing and to operate under ...
Yulun Tian +5 more
semanticscholar +1 more source
Heterogeneous Multi-Robot Reinforcement Learning [PDF]
Cooperative multi-robot tasks can benefit from heterogeneity in the robots' physical and behavioral traits. In spite of this, traditional Multi-Agent Reinforcement Learning (MARL) frameworks lack the ability to explicitly accommodate policy heterogeneity,
Matteo Bettini +2 more
semanticscholar +1 more source
Combining Task and Motion Planning: Challenges and Guidelines
Combined Task and Motion Planning (TAMP) is an area where no one-fits-all solution can exist. Many aspects of the domain, as well as operational requirements, have an effect on how algorithms and representations are designed.
Masoumeh Mansouri +2 more
doaj +1 more source
Multi-robot team response to a multi-robot opponent team [PDF]
Adversarial multi-robot problems, where teams of robots compete with one another, require the development of approaches that span all levels of control and integrate algorithms ranging from low-level robot motion control, through to planning, opponent modeling, and multiagent learning.
James Bruce +3 more
openaire +2 more sources
We study multi-robot caravanning, which is loosely defined as the problem of a heterogeneous team of robots visiting specific areas of an environment (waypoints) as a group. After formally defining this problem, we propose a novel solution that requires minimal communication and scales with the number of waypoints and robots.
Denny, Jory +7 more
openaire +1 more source

