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Multi-Robot Containment and Disablement
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020This paper presents the multi-robot containment and disablement (CAD) problem. In this problem, a team of (ground or aerial) robots are engaged in a cooperative task of swarm containment and disablement (for example, locust swarm). Each team member is equipped with a tool that can both detect and disable the swarm individuals.
Yuval Maymon, Noa Agmon
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COHERENT: Collaboration of Heterogeneous Multi-Robot System with Large Language Models
IEEE International Conference on Robotics and AutomationLeveraging the powerful reasoning capabilities of large language models (LLMs), recent LLM-based robot task planning methods yield promising results. However, they mainly focus on single or multiple homogeneous robots on simple tasks.
Kehui Liu +5 more
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H2GNN: Hierarchical-Hops Graph Neural Networks for Multi-Robot Exploration in Unknown Environments
IEEE Robotics and Automation Letters, 2022Multi-robot coarse-to-fine exploration in unknown environments makes great sense in many application fields like search and rescue. For different stages of the task, robots need to extract information from the environment discriminately, which can ...
Hao Zhang +4 more
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Multi-Robot Motion Planning with Diffusion Models
International Conference on Learning RepresentationsDiffusion models have recently been successfully applied to a wide range of robotics applications for learning complex multi-modal behaviors from data. However, prior works have mostly been confined to single-robot and small-scale environments due to the
Yorai Shaoul +4 more
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Multi-Robot Adversarial Coverage
2016This work discusses the problem of adversarial coverage, in which one or more robots are required to visit every point of a given area, which contains threats that might stop the robots. The objective of the robots is to cover the target area as quickly as possible, while maximizing the percentage of covered area before they are stopped.
Roi Yehoshua, Noa Agmon
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Multi-Robot Cooperative Hunting
2016 International Conference on Collaboration Technologies and Systems (CTS), 2016This paper presents a Lyapunov based cooperative hunting method for multiple robots. First, the relative dynamics is obtained from the robot-target relative kinematics. Then, using the relative dynamics and dynamics of all the robots, a Lyapunov based local controller is derived to stabilize individual robots.
He Shen +3 more
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IEEE Transactions on Automation Science and Engineering
In this paper, a novel multi-robot autonomous exploration approach CURE is proposed based on dynamic Voronoi diagrams and centroids of unknown connected regions.
Qingchen Bi +6 more
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In this paper, a novel multi-robot autonomous exploration approach CURE is proposed based on dynamic Voronoi diagrams and centroids of unknown connected regions.
Qingchen Bi +6 more
semanticscholar +1 more source
On the design of multi-robot systems
Proceedings. 1984 IEEE International Conference on Robotics and Automation, 2005For an efficient design of multi-robot systems it is of interest to consider not only parts of the hierarchical structure but to develop a complete control concept including the dynamics of the robots involved. In spite of high practical interest relatively little work has been done on these topics so far.
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Multi Robot Learning by Demonstration
International Joint Conference on Autonomous Agents and Multiagent Systems, 2012In this paper, we investigate the feasibility of a Multi Robot Learning by Demonstration system, which allows multiple teachers to give a demonstration to multiple robots simultaneously. A novel, complete end-to-end system was developed, which extracts data from a live human group demonstration, and allows the robots to imitate the demonstration by ...
Michiel Blokzijl-Zanker, Yiannis Demiris
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Planning for Multi-robot Localization
2010This paper will present a cooperative multi-robot localization model with planning support. Models of communication and transmission of pose estimates are constantly explored, however how the robots act on the environment is generally defined by random actions (from the localization task's point of view).
Paulo Gurgel Pinheiro, Jacques Wainer
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