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相关论文: Synchronous Robotic Framework

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We present experimental results on the single file motion of a group of robots interacting with each other through position sensors. We successfully replicate the fundamental diagram typical of these systems, with a transition from free…

适应与自组织系统 · 物理学 2024-03-14 Laciel Alonso-Llanes , Angel Garcimartín , Iker Zuriguel

This paper presents a low-cost, centralized modular underwater robot platform, ModCube, which can be used to study swarm coordination for a wide range of tasks in underwater environments. A ModCube structure consists of multiple ModCube…

机器人学 · 计算机科学 2025-01-16 Jiaxi Zheng , Guangmin Dai , Botao He , Zhaoyang Mu , Zhaochen Meng , Tianyi Zhang , Weiming Zhi , Dixia Fan

Rather than programming, training allows robots to achieve behaviors that generalize better and are capable to respond to real-world needs. However, such training requires a big amount of experimentation which is not always feasible for a…

In this study, we present a novel hybrid algorithm, combining Levy Flight (LF) and Particle Swarm Optimization (PSO) (LF-PSO), tailored for efficient multi-robot exploration in unknown environments with limited communication and no global…

Simulators are an important tool in robotics that is used to develop robot software and generate synthetic data for machine learning algorithms. Faster simulation can result in better software validation and larger amounts of data. Previous…

Unlike most human-engineered systems, biological systems are emergent from low-level interactions, allowing much broader diversity and superior adaptation to the complex environments. Inspired by the process of morphogenesis in nature, a…

机器人学 · 计算机科学 2023-06-23 Trevor Smith , R. Michael Butts , Nathan Adkins , Yu Gu

This paper presents a framework for monitoring human and robot conditions in human multi-robot interactions. The proposed framework consists of four modules: 1) human and robot conditions monitoring interface, 2) synchronization time…

机器人学 · 计算机科学 2020-06-09 Wonse Jo , Shyam Sundar Kannan , Go-Eum Cha , Ahreum Lee , Byung-Cheol Min

Successful entrainment during collaboration positively affects trust, willingness to collaborate, and likeability towards collaborators. In this paper, we present a mixed-method study to investigate characteristics of successful entrainment…

人机交互 · 计算机科学 2024-02-26 Eike Schneiders , Christopher Fourie , Stanley Celestin , Julie Shah , Malte Jung

Collaborative robots (cobots) increasingly operate alongside humans, demanding robust real-time safeguarding. Current safety standards (e.g., ISO 10218, ANSI/RIA 15.06, ISO/TS 15066) require risk assessments but offer limited guidance for…

机器人学 · 计算机科学 2026-04-09 Vineela Reddy Pippera Badguna , Aliasghar Arab , Durga Avinash Kodavalla

This paper introduces a testbed to study distributed sensing problems of Unmanned Aerial Vehicles (UAVs) exhibiting swarm intelligence. Several Smart City applications, such as transport and disaster response, require efficient collection…

机器人学 · 计算机科学 2022-08-12 Chuhao Qin , Fethi Candan , Lyudmila S. Mihaylova , Evangelos Pournaras

Collaborative state estimation using different heterogeneous sensors is a fundamental prerequisite for robotic swarms operating in GPS-denied environments, posing a significant research challenge. In this paper, we introduce a centralized…

机器人学 · 计算机科学 2024-02-26 Shipeng Zhong , Hongbo Chen , Yuhua Qi , Dapeng Feng , Zhiqiang Chen , Jin Wu , Weisong Wen , Ming Liu

Coordinated multi-robot navigation is essential for robots to operate as a team in diverse environments. During navigation, robot teams usually need to maintain specific formations, such as circular formations to protect human teammates at…

RoboCup represents an International testbed for advancing research in AI and robotics, focusing on a definite goal: developing a robot team that can win against the human world soccer champion team by the year 2050. To achieve this goal,…

This paper presents a novel methodology that allows a swarm of robots to perform a cooperative transportation task. Our approach consists of modeling the swarm as a {\em Gibbs Random Field} (GRF), taking advantage of this framework's…

机器人学 · 计算机科学 2021-09-29 Paulo Rezeck , Renato M. Assunção , Luiz Chaimowicz

In autonomous robotics, a critical challenge lies in developing robust solutions for Active Collaborative SLAM, wherein multiple robots collaboratively explore and map an unknown environment while intelligently coordinating their movements…

This paper describes a framework called MaestROB. It is designed to make the robots perform complex tasks with high precision by simple high-level instructions given by natural language or demonstration. To realize this, it handles a…

Significant progress has been made in the area of model-based reinforcement learning. State-of-the-art algorithms are now able to match the asymptotic performance of model-free methods while being significantly more data efficient. However,…

机器学习 · 计算机科学 2019-10-29 Yunzhi Zhang , Ignasi Clavera , Boren Tsai , Pieter Abbeel

The mobile robotic testbed is an essential and critical support to verify the effectiveness of mobile robotics research. This paper introduces a novel multi-robot testbed, named Robopheus, which exploits the ideas of virtual-physical…

机器人学 · 计算机科学 2021-03-09 Xuda Ding , Han Wang , Hongbo Li , Hao Jiang , Jianping He

An efficient communication mechanism forms the backbone for any multi-robot system to achieve fruitful collaboration and coordination. Limitation in the existing asynchronous transmission based strategies in fast dissemination and…

机器人学 · 计算机科学 2021-12-02 Sourabha Bharadwaj , Karunakar Gonabattula , Sudipta Saha , Chayan Sarkar , Rekha Raja

Designing an efficient and resilient human-robot collaboration strategy that not only upholds the safety and ergonomics of shared workspace but also enhances the performance and agility of collaborative setup presents significant challenges…