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Performing rescuing and surveillance operations with autonomous ground and aerial vehicles become more and more apparent task. Involving unmanned robot systems allows making these operations more efficient, safe and reliable especially in…

机器人学 · 计算机科学 2011-11-03 Serge Kernbach , Kristof Jebens

While Unmanned Aerial Vehicles (UAVs) are increasingly deployed in several missions, their inability of reliable and consistent autonomous landing poses a major setback for deploying such systems truly autonomously. In this paper we present…

机器人学 · 计算机科学 2022-10-18 Michalis Piponidis , Panayiotis Aristodemou , Theocharis Theocharides

In recent years, consumer Unmanned Aerial Vehicles have become very popular, everyone can buy and fly a drone without previous experience, which raises concern in regards to regulations and public safety. In this paper, we present a novel…

机器人学 · 计算机科学 2016-02-29 Thomas Castelli , Aidean Sharghi , Don Harper , Alain Tremeau , Mubarak Shah

Nano-size drones hold enormous potential to explore unknown and complex environments. Their small size makes them agile and safe for operation close to humans and allows them to navigate through narrow spaces. However, their tiny size and…

机器人学 · 计算机科学 2024-10-28 Hanna Müller , Vlad Niculescu , Tommaso Polonelli , Michele Magno , Luca Benini

In recent years, using drone, also known as unmanned aerial vehicle (UAV), in close-distance visual inspection has became an active area in many disciplines. However, many challenges still remain before we can achieve autonomous inspection,…

机器人学 · 计算机科学 2019-04-11 Zhexiong Shang , Zhigang Shen

In recent years, consumer-grade UAVs have been widely adopted by first responders. In general, they are operated manually, which requires trained pilots, especially in unknown GNSS-denied environments and in the vicinity of structures.…

机器人学 · 计算机科学 2025-10-27 Daniel Schleich , Jan Quenzel , Sven Behnke

Unmanned Aerial Vehicles (UAVs) have become pivotal in domains spanning military, agriculture, surveillance, and logistics, revolutionizing data collection and environmental interaction. With the advancement in drone technology, there is a…

This paper presents the design concept, modeling and motion planning solution for the aerial robotic chain. This design represents a configurable robotic system of systems, consisting of multi-linked micro aerial vehicles that…

机器人学 · 计算机科学 2019-11-26 Mihir Kulkarni , Huan Nguyen , Kostas Alexis

This paper introduces a high-performance artificial intelligence operating system tailored for low-altitude aviation, designed to address key challenges such as real-time task execution, computational efficiency, and seamless modular…

机器学习 · 计算机科学 2025-01-07 Minzhe Tan , Xinlin Fan , Jian He , Yi Hou , Zhan Liu , Yaopeng Jiang , Y. M. Jiang

Recently, there have been numerous advances in the development of biologically inspired lightweight Micro Aerial Vehicles (MAVs). While autonomous navigation is fairly straight-forward for large UAVs as expensive sensors and monitoring…

Despite extensive developments in motion planning of autonomous aerial vehicles (AAVs), existing frameworks faces the challenges of local minima and deadlock in complex dynamic environments, leading to increased collision risks. To address…

机器人学 · 计算机科学 2026-05-29 Junzhi Li , Teng Long , Jingliang Sun , Jianxin Zhong

Reliable deployment of Unmanned Aerial Vehicles (UAVs) in cluttered unknown environments requires accurate sensors for Global Navigation Satellite System (GNSS)-denied localization and obstacle avoidance. Such a requirement limits the usage…

机器人学 · 计算机科学 2025-05-28 Václav Pritzl , Matouš Vrba , Yurii Stasinchuk , Vít Krátký , Jiří Horyna , Petr Štěpán , Martin Saska

Collision-free path planning is an essential requirement for autonomous exploration in unknown environments, especially when operating in confined spaces or near obstacles. This study presents an autonomous exploration technique using a…

机器人学 · 计算机科学 2023-02-01 Sunggoo Jung , Hanseob Lee , David Hyunchul Shim , Ali-akbar Agha-mohammadi

This paper presents a family of autonomous Unmanned Aerial Vehicles (UAVs) platforms designed for a diverse range of indoor and outdoor applications. The proposed UAV design is highly modular in terms of used actuators, sensor…

Utilizing autonomous drones or unmanned aerial vehicles (UAVs) has shown great advantages over preceding methods in support of urgent scenarios such as search and rescue (SAR) and wildfire detection. In these operations, search efficiency…

机器人学 · 计算机科学 2022-11-30 Mohammadjavad Khosravi , Rushiv Arora , Saeede Enayati , Hossein Pishro-Nik

Co-design optimisation of autonomous systems has emerged as a powerful alternative to sequential approaches by jointly optimising physical design and control strategies. However, existing frameworks often neglect the robustness required for…

机器人学 · 计算机科学 2026-03-13 Adrian Andrei Buda , Xavier Chen , Nicolò Botteghi , Urban Fasel

In the incoming years, the low-aerial space will be crowded by unmanned aerial vehicles (UAVs), which will be providing different services. In this expected context, an emerging problem is to detect and track unauthorized or malicious…

信号处理 · 电气工程与系统科学 2020-07-23 Anna Guerra , Davide Dardari , Petar M. Djuric

A didactic multiscale approach for drone modeling is proposed. Specifically, we investigate the drone structure at both macroscopic and microscopic scales, by making use of finite element and atomistic simulations, respectively. The…

Cargo drones are designed to carry payloads with predefined shape, size, and/or mass. This lack of flexibility requires a fleet of diverse drones tailored to specific cargo dimensions. Here we propose a new reconfigurable drone based on a…

机器人学 · 计算机科学 2022-11-17 Fabrizio Schiano , Przemyslaw Mariusz Kornatowski , Leonardo Cencetti , Dario Floreano

The miniaturisation of sensors and processors, the advancements in connected edge intelligence, and the exponential interest in Artificial Intelligence are boosting the affirmation of autonomous nano-size drones in the Internet of Robotic…

机器人学 · 计算机科学 2025-05-09 Mattia Sartori , Chetna Singhal , Neelabhro Roy , Davide Brunelli , James Gross
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