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Unmanned ground vehicles have a huge development potential in both civilian and military fields, and have become the focus of research in various countries. In addition, high-precision, high-reliability sensors are significant for UGVs'…

计算机视觉与模式识别 · 计算机科学 2020-07-14 Qi Liu , Shihua Yuan , Zirui Li

Recently worldwide interest is growing toward commercial, military or scientific Unmanned Surface Vehicle (USV) and hence there is required to develop their guidance, navigation, and control (GNC) systems. Real USVs are a relatively new…

机器人学 · 计算机科学 2020-09-04 Pouyan Asgharian , Zati Hakim Azizul

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

Off-road autonomous unmanned ground vehicles (UGVs) are being developed for military and commercial use to deliver crucial supplies in remote locations, help with mapping and surveillance, and to assist war-fighters in contested…

The necessity of maintaining a robust antiterrorist task force has become imperative in recent times with resurgence of rogue element in the society. A well equipped combat force warrants the safety and security of citizens and the…

机器人学 · 计算机科学 2016-09-15 Abhishek Sawarkar , Vishal Chaudhari , Rahul Chavan , Varun Zope , Akshay Budale , Faruk Kazi

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…

When working alongside human collaborators in dynamic and unstructured environments, such as disaster recovery or military operation, fast field adaptation is necessary for an unmanned ground vehicle (UGV) to perform its duties or learn…

机器人学 · 计算机科学 2022-05-09 Maggie Wigness , John G. Rogers , Luis E. Navarro-Serment

We propose a novel hybrid system (both hardware and software) of an Unmanned Aerial Vehicle (UAV) carrying a miniature Unmanned Ground Vehicle (miniUGV) to perform a complex search and manipulation task. This system leverages heterogeneous…

机器人学 · 计算机科学 2022-09-26 Durgakant Pushp , Swapnil Kalhapure , Kaushik Das , Lantao Liu

Autonomous mobile robots have the potential to solve missions that are either too complex or dangerous to be accomplished by humans. In this paper, we address the design and autonomous deployment of a ground vehicle equipped with a robotic…

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

Over the past few years, the use of camera-equipped robotic platforms for data collection and visually monitoring applications has exponentially grown. Cluttered construction sites with many objects (e.g., bricks, pipes, etc.) on the ground…

机器人学 · 计算机科学 2019-01-25 Khashayar Asadi , Rahul Jain , Ziqian Qin , Mingda Sun , Mojtaba Noghabaei , Jeremy Cole , Kevin Han , Edgar Lobaton

We address the problem of achieving persistent surveillance over an environment by using energy-constrained unmanned aerial vehicles (UAVs), which are supported by unmanned ground vehicles (UGVs) serving as mobile charging stations.…

系统与控制 · 电气工程与系统科学 2019-08-19 Sepehr Seyedi , Yasin Yazicioglu , Derya Aksaray

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

Within the context of Industry 4.0, mobile robot systems such as automated guided vehicles (AGVs) and unmanned aerial vehicles (UAVs) are one of the major areas challenging current communication and localization technologies. Due to…

机器人学 · 计算机科学 2018-11-30 Amina Fellan , Christian Schellenberger , Marc Zimmermann , Hans D. Schotten

In recent years, Unmanned Surface Vehicles (USV) have been extensively deployed for maritime applications. However, USV has a limited detection range with sensor installed at the same elevation with the targets. In this research, we propose…

机器人学 · 计算机科学 2021-02-24 Hanlin Niu , Ze Ji , Pietro Liguori , Hujun Yin , Joaquin Carrasco

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

Now-a-days, a lot of research is being carried out in the development of USVs (Unmanned surface vehicles), UAVs (Unmanned Aerial Vehicles) etc. Now in case of USVs generally, we have seen that wireless controlled vehicles use RF circuits…

系统与控制 · 计算机科学 2014-03-13 Sourangsu Banerji

This paper presents an adaptive coverage control method for a fleet of off-road and Unmanned Ground Vehicles (UGVs) operating in dynamic (time-varying) agricultural environments. Traditional coverage control approaches often assume static…

机器人学 · 计算机科学 2025-09-09 Sajad Ahmadi , Mohammadreza Davoodi , Javad Mohammadpour Velni

This thesis presents the development of ARGUS, a framework for mission planning for Unmanned Ground Vehicles (UGVs) in tactical environments. The system is designed to translate battlefield complexity and the commander's intent into…

系统与控制 · 电气工程与系统科学 2025-11-12 Nuno Soares , António Grilo

We present a cooperative aerial-ground search-and-rescue (SAR) framework that pairs two unmanned aerial vehicles (UAVs) with an unmanned ground vehicle (UGV) to achieve rapid victim localization and obstacle-aware navigation in unknown…

机器人学 · 计算机科学 2026-03-09 Seth Farrell , Chenghao Li , Hesam Mojtahedi , Henrik I. Christensen
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