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Exploring and inspecting \emph{Hidden Spaces}, defined as environments whose entrances are accessible only to aerial robots but remain unexplored due to geometric constraints, limited flight time, and communication loss, remains a major…

机器人学 · 计算机科学 2026-03-03 Durgakant Pushp , Swapnil Kalhapure , Shaekh Mohammad Shithil , Lantao Liu

We present a waypoint planning algorithm for an unmanned aerial vehicle (UAV) that is teamed with an unmanned ground vehicle (UGV) for the task of search and rescue in a subterranean environment. The UAV and UGV are teamed such that the…

机器人学 · 计算机科学 2021-02-12 Matteo De Petrillo , Jared Beard , Yu Gu , Jason N. Gross

The use of multi-rotor Unmanned Aerial Vehicles (UAVs) for search and rescue as well as remote sensing is rapidly increasing. Multi-rotor UAVs, however, have limited endurance. The range of UAV applications can be widened if teams of…

机器人学 · 计算机科学 2021-08-12 Xiaolong Zhu , Fernando Vanegas , Felipe Gonzalez , Conrad Sanderson

A robotic system of multiple unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) has the potential for advancing autonomous object geolocation performance. Much research has focused on algorithmic improvements on individual…

This paper proposes a novel cooperative system for an Unmanned Aerial Vehicle (UAV) and an Unmanned Ground Vehicle (UGV) which utilizes the UAV not only as a flying sensor but also as a tether attachment device. Two robots are connected…

机器人学 · 计算机科学 2020-05-13 Takahiro Miki , Petr Khrapchenkov , Koichi Hori

Unmanned Aerial Vehicles(UAVs) are attaining more and more maneuverability and sensory ability as a promising teleoperation platform for intelligent interaction with the environments. This work presents a novel 5-degree-of-freedom (DoF)…

机器人学 · 计算机科学 2022-10-28 Caiwu Ding , Hongwu Peng , Lu Lu , Caiwen Ding

A robotic solution for the unmanned ground vehicles (UGVs) to execute the highly complex task of object manipulation in an autonomous mode is presented. This paper primarily focuses on developing an autonomous robotic system capable of…

机器人学 · 计算机科学 2021-12-16 Mohit Vohra , Laxmidhar Behera

This paper introduces an innovative methodology for object manipulation on the surface of water through the collaboration of an Unmanned Aerial Vehicle (UAV) and an Unmanned Surface Vehicle (USV) connected to the object by tethers. We…

机器人学 · 计算机科学 2025-02-07 Filip Novák , Tomáš Báča , Martin Saska

Unmanned aerial vehicles (UAVs) have been used for many applications in recent years, from urban search and rescue, to agricultural surveying, to autonomous underground mine exploration. However, deploying UAVs in tight, indoor spaces,…

计算机视觉与模式识别 · 计算机科学 2022-03-07 Stuart Golodetz , Madhu Vankadari , Aluna Everitt , Sangyun Shin , Andrew Markham , Niki Trigoni

Collaborative heterogeneous robot systems can greatly improve the efficiency of target search and navigation tasks. In this paper, we design a heterogeneous robot system consisting of a UAV and a UGV for search and rescue missions in…

机器人学 · 计算机科学 2024-05-21 Yun Chen , Jiaping Xiao

This paper focuses on the control of a system composed of an Unmanned Aerial Vehicle (UAV) and an Unmanned Ground Vehicle (UGV) which cooperate to manipulate an object. The two units are subject to actuator saturations and cooperate to move…

系统与控制 · 计算机科学 2016-03-02 Tam Nguyen , Emanuele Garone

The global positioning system (GPS) has become an indispensable navigation method for field operations with unmanned surface vehicles (USVs) in marine environments. However, GPS may not always be available outdoors because it is vulnerable…

This paper studies a heterogeneous Unmanned Aerial Vehicles (UAVs) cooperative search approach suitable for complex environments. In the application, a fixed-wing UAV drops rotor UAVs to deploy the cluster rapidly. Meanwhile, the fixed-wing…

系统与控制 · 电气工程与系统科学 2024-09-10 Zhenchang Liu , Mingrui Hao

In this paper, an autonomous tethered Unmanned Aerial Vehicle (UAV) is developed into a visual assistant in a marsupial co-robots team, collaborating with a tele-operated Unmanned Ground Vehicle (UGV) for robot operations in unstructured or…

机器人学 · 计算机科学 2020-01-20 Xuesu Xiao , Jan Dufek , Robin R. Murphy

In this work, we present a pragmatic approach to enable unmanned aerial vehicle (UAVs) to autonomously perform highly complicated tasks of object pick and place. This paper is largely inspired by challenge-2 of MBZIRC 2020 and is primarily…

机器人学 · 计算机科学 2021-01-19 Ashish Kumar , Mohit Vohra , Ravi Prakash , L. Behera

An innovative method of detecting Unmanned Aerial Vehicles (UAVs) is presented. The goal of this study is to develop a robust setup for an autonomous multi-rotor hunter UAV, capable of visually detecting and tracking the intruder UAVs for…

信号处理 · 电气工程与系统科学 2020-05-11 Maria N. Brunet , Guilherme Aramizo Ribeiro , Nina Mahmoudian , Mo Rastgaar

Micro unmanned aerial vehicles (mUAV) became very common in recent years. As a result of their widespread usage, when they are flown by hobbyists illegally, crucial risks are imposed and such mUAVs need to be sensed by security systems.…

计算机视觉与模式识别 · 计算机科学 2020-01-20 Fatih Gökçe

Localization in a global map is critical to success in many autonomous robot missions. This is particularly challenging for multi-robot operations in unknown and adverse environments. Here, we are concerned with providing a small unmanned…

机器人学 · 计算机科学 2016-09-20 Gordon Christie , Garrett Warnell , Kevin Kochersberger

We present a complete infrastructure-less magneto-inductive (MI) localization system enabling a lightweight UAV to autonomously hover, track, and land with centimeter precision on a mobile quadruped robot acting as a dynamic docking pad.…

机器人学 · 计算机科学 2026-03-11 Valerio Brunacci , Davide Plozza , Alessio De Angelis , Michele Magno , Tommaso Polonelli

A smart Unmanned Ground Vehicle (UGV) is designed and developed for some application specific missions to operate predominantly in hazardous environments. In our work, we have developed a small and lightweight vehicle to operate in general…

机器人学 · 计算机科学 2012-02-15 Saurav Chakraborty , Subhadip Basu
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