Results 251 to 260 of about 5,021,226 (308)

Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios

International Journal of Robotics Research, 2020
Developing a safe and efficient collision-avoidance policy for multiple robots is challenging in the decentralized scenarios where each robot generates its paths with limited observation of other robots’ states and intentions.
Tingxiang Fan, Pinxin Long, Wenxi Liu
exaly   +2 more sources

RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

IEEE International Conference on Robotics and Automation, 2023
We propose a novel approach to multi-robot collaboration that harnesses the power of pre-trained large language models (LLMs) for both high-level communication and low-level path planning.
Zhao Mandi, Shreeya Jain, Shuran Song
semanticscholar   +1 more source

Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems?

IEEE International Conference on Robotics and Automation, 2023
A flurry of recent work has demonstrated that pre-trained large language models (LLMs) can be effective task planners for a variety of single-robot tasks.
Yongchao Chen, Jacob Arkin, Yang Zhang, Nicholas Roy, Chuchu Fan   +4 more
semanticscholar   +1 more source

M3ED: Multi-Robot, Multi-Sensor, Multi-Environment Event Dataset

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
We present M3ED, the first multi-sensor event camera dataset focused on high-speed dynamic motions in robotics applications. M3ED provides high-quality synchronized and labeled data from multiple platforms, including ground vehicles, legged robots, and ...
Kenneth Chaney, Fernando Cladera, Ziyun Wang, Anthony Bisulco, M. A. Hsieh, C. Korpela, Vijay R. Kumar, C. J. Taylor, Kostas Daniilidis   +8 more
semanticscholar   +1 more source

Multi-Robot Cooperative Socially-Aware Navigation Using Multi-Agent Reinforcement Learning

IEEE International Conference on Robotics and Automation, 2023
In public spaces shared with humans, ensuring multi-robot systems navigate without collisions while respecting social norms is challenging, particularly with limited communication.
Weizheng Wang, Le Mao, Ruiqi Wang, Byung-Cheol Min   +3 more
semanticscholar   +1 more source

A Survey of Underwater Multi-Robot Systems

IEEE/CAA Journal of Automatica Sinica, 2022
As a cross-cutting field between ocean development and multi-robot system (MRS), the underwater multi-robot system (UMRS) has gained increasing attention from researchers and engineers in recent decades.
Ziye Zhou, Jincun Liu, Junzhi Yu
semanticscholar   +1 more source

Multi-robot Hunting Behavior

2005 IEEE International Conference on Systems, Man and Cybernetics, 2006
In this paper we consider the problem of hunting an unpredictably moving prey using a group of robots. We elaborate a mathematical model for the tracking-navigation problem based on geometric rules. This model consists of systems of two differential equations describing the relative motion of the prey with respect to the robots.
Fethi Belkhouche, Boumediene Belkhouche, Parviz Rastgoufard   +2 more
openaire   +1 more source

MR-TopoMap: Multi-Robot Exploration Based on Topological Map in Communication Restricted Environment

IEEE Robotics and Automation Letters, 2022
Multi-robot exploration in unknown environments is a fundamental task for a multi-robot system, involving inter-robot communication through messages among the robots. However, in a restricted communication environment, the limited communication resources
Zhaoliang Zhang, Jincheng Yu, Jiahao Tang, Yuanfan Xu, Yu Wang   +4 more
semanticscholar   +1 more source

Multi-Robot Cooperative Hunting

2016 International Conference on Collaboration Technologies and Systems (CTS), 2016
This 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, Ni Li, Salvador Rojas, Lanchun Zhang   +3 more
openaire   +1 more source

Multi-Robot Containment and Disablement

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
This 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
openaire   +1 more source