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Relative localization between autonomous robots without infrastructure is crucial to achieve their navigation, path planning, and formation in many applications, such as emergency response, where acquiring a prior knowledge of the…

Radio-based methods such as Ultra-Wideband (UWB) and RAdio Detection And Ranging (radar), which have traditionally seen limited adoption in robotics, are experiencing a boost in popularity thanks to their robustness to harsh environmental…

机器人学 · 计算机科学 2026-03-10 Andrés Martínez-Silva , David Alejo , Luis Merino , Fernando Caballero

This letter presents a cooperative relative multi-robot localization design and experimental study. We propose a flexible Monte Carlo approach leveraging a particle filter to estimate relative states. The estimation can be based on…

This paper presents MULAN-WC, a novel multi-robot 3D reconstruction framework that leverages wireless signal-based coordination between robots and Neural Radiance Fields (NeRF). Our approach addresses key challenges in multi-robot 3D…

机器人学 · 计算机科学 2024-09-17 Weiying Wang , Victor Cai , Stephanie Gil

In multi-robot systems, relative localization between platforms plays a crucial role in many tasks, such as leader following, target tracking, or cooperative maneuvering. State of the Art (SotA) approaches either rely on…

机器人学 · 计算机科学 2024-12-30 Valerio Brunacci , Alberto Dionigi , Alessio De Angelis , Gabriele Costante

Ultra-wideband (UWB) ranging has emerged as a key radio technology for robot positioning and relative localization in multi-robot systems. Multiple works are now advancing towards more scalable systems, but challenges still remain. This…

机器人学 · 计算机科学 2022-03-09 Paola Torrico Morón , Jorge Peña Queralta , Tomi Westerlund

Localization plays a critical role in the field of distributed swarm robotics. Previous work has highlighted the potential of relative localization for position tracking in multi-robot systems. Ultra-wideband (UWB) technology provides a…

机器人学 · 计算机科学 2023-03-22 Salma Ichekhlef , Étienne Villemure , Shokoufeh Naderi , François Ferland , Maude Blondin

Consistent localization of cooperative multi-robot systems during navigation presents substantial challenges. This paper proposes a fault-tolerant, multi-modal localization framework for multi-robot systems on matrix Lie groups. We…

机器人学 · 计算机科学 2025-05-05 Mahboubeh Zarei , Robin Chhabra

Human pose estimation involves detecting and tracking the positions of various body parts using input data from sources such as images, videos, or motion and inertial sensors. This paper presents a novel approach to human pose estimation…

机器人学 · 计算机科学 2024-08-29 Salma Salimi , Sahar Salimpour , Jorge Peña Queralta , Wallace Moreira Bessa , Tomi Westerlund

Robots often use feature-based image tracking to identify their position in their surrounding environment; however, feature-based image tracking is prone to errors in low-textured and poorly lit environments. Specifically, we investigate a…

机器人学 · 计算机科学 2024-10-23 Derek Knowles , Adam Dai , Grace Gao

To accomplish task efficiently in a multiple robots system, a problem that has to be addressed is Simultaneous Localization and Mapping (SLAM). LiDAR (Light Detection and Ranging) has been used for many SLAM solutions due to its superb…

Inter-agent relative localization is critical for any multi-robot system operating in the absence of external positioning infrastructure or prior environmental knowledge. We propose a novel inter-agent relative 2D pose estimation system…

机器人学 · 计算机科学 2022-03-22 Andrew Fishberg , Jonathan P. How

Accurate localization and tracking are a fundamental requirement for robotic applications. Localization systems like GPS, optical tracking, simultaneous localization and mapping (SLAM) are used for daily life activities, research, and…

机器人学 · 计算机科学 2021-07-07 Yanjun Cao , Chenhao Yang , Rui Li , Alois Knoll , Giovanni Beltrame

Localization of objects is vital for robot-object interaction. Light Detection and Ranging (LiDAR) application in robotics is an emerging and widely used object localization technique due to its accurate distance measurement, long-range,…

This article studies the problem of distributed formation control for multiple robots by using onboard ultra wide band (UWB) distance and inertial odometer (IO) measurements. Although this problem has been widely studied, a fundamental…

机器人学 · 计算机科学 2026-04-15 Kunrui Ze , Wei Wang , Shuoyu Yue , Guibin Sun , Kexin Liu , Jinhu Lü

Ultra-wideband (UWB) technology has shown remarkable potential as a low-cost general solution for robot localization. However, limitations of the UWB signal for precise positioning arise from the disturbances caused by the environment…

机器人学 · 计算机科学 2025-05-12 Umberto Albertin , Mauro Martini , Alessandro Navone , Marcello Chiaberge

Despite the number of works published in recent years, vehicle localization remains an open, challenging problem. While map-based localization and SLAM algorithms are getting better and better, they remain a single point of failure in…

机器人学 · 计算机科学 2024-03-21 Luca Mozzarelli , Luca Cattaneo , Matteo Corno , Sergio Matteo Savaresi

In this study, we address multi-robot localization issues, with a specific focus on cooperative localization and observability analysis of relative pose estimation. Cooperative localization involves enhancing each robot's information…

机器人学 · 计算机科学 2024-02-06 Kihoon Shin , Hyunjae Sim , Seungwon Nam , Yonghee Kim , Jae Hu , Kwang-Ki K. Kim

This paper presents a method to improve the localization accuracy of robots operating in a range-based localization network. The method is favorable especially when the robots operate in harsh environments where the access to a robust and…

机器人学 · 计算机科学 2018-04-27 Saman Fahandezh-Saadi , Mark W. Mueller

Ultra-wideband (UWB) positioning has emerged as a low-cost and dependable localization solution for multiple use cases, from mobile robots to asset tracking within the Industrial IoT. The technology is mature and the scientific literature…

机器人学 · 计算机科学 2023-05-16 Paola Torrico Morón , Sahar Salimpour , Lei Fu , Xianjia Yu , Jorge Peña Queralta , Tomi Westerlund
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