中文
相关论文

相关论文: Air-Ground Collaborative Robots for Fire and Rescu…

200 篇论文

Humanoid robots offer significant advantages for search and rescue tasks, thanks to their capability to traverse rough terrains and perform transportation tasks. In this study, we present a task and motion planning framework for search and…

机器人学 · 计算机科学 2024-09-24 Abdulaziz Shamsah , Jesse Jiang , Ziwon Yoon , Samuel Coogan , Ye Zhao

Autonomous underwater vehicles (AUVs) are valuable for ocean exploration due to their flexibility and ability to carry communication and detection units. Nevertheless, AUVs alone often face challenges in harsh and extreme sea conditions.…

机器人学 · 计算机科学 2025-01-14 Jingzehua Xu , Guanwen Xie , Xinqi Wang , Yimian Ding , Shuai Zhang

This work contributes a marsupial robotic system-of-systems involving a legged and an aerial robot capable of collaborative mapping and exploration path planning that exploits the heterogeneous properties of the two systems and the ability…

Deploying robotic missions can be challenging due to the complexity of controlling robots with multiple degrees of freedom, fusing diverse sensory inputs, and managing communication delays and interferences. In nuclear inspection, robots…

An important focus of current research in the field of Micro Aerial Vehicles (MAVs) is to increase the safety of their operation in general unstructured environments. Especially indoors, where GPS cannot be used for localization, reliable…

计算机视觉与模式识别 · 计算机科学 2015-05-12 T. Holzmann , R. Prettenthaler , J. Pestana , D. Muschick , G. Graber , C. Mostegel , F. Fraundorfer , H. Bischof

The recent progress in unmanned aerial vehicles (UAV) technology has significantly advanced UAV-based applications for military, civil, and commercial domains. Nevertheless, the challenges of establishing high-speed communication links,…

信号处理 · 电气工程与系统科学 2023-04-03 Shumaila Javaid , Nasir Saeed , Zakria Qadir , Hamza Fahim , Bin He , Houbing Song , Muhammad Bilal

This work presents a 3D multi-robot exploration framework for a team of UGVs moving on uneven terrains. The framework was designed by casting the two-level coordination strategy presented in [1] into the context of multi-robot exploration.…

机器人学 · 计算机科学 2023-07-10 Luigi Freda , Tiago Novo , David Portugal , Rui P. Rocha

This paper presents a novel approach for autonomous cooperating UAVs in search and rescue operations in subterranean domains with complex topology. The proposed system was ranked second in the Virtual Track of the DARPA SubT Finals as part…

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

Efficient exploration strategies are vital in tasks such as search-and-rescue missions and disaster surveying. Unmanned Aerial Vehicles (UAVs) have become particularly popular in such applications, promising to cover large areas at high…

机器人学 · 计算机科学 2023-01-23 Luca Bartolomei , Lucas Teixeira , Margarita Chli

Ultra-wideband technology has emerged in recent years as a robust solution for localization in GNSS denied environments. In particular, its high accuracy when compared to other wireless localization solutions is enabling a wider range of…

信号处理 · 电气工程与系统科学 2022-04-12 Wang Shule , Carmen Martínez Almansa , Jorge Peña Queralta , Zhuo Zou , Tomi Westerlund

Wildfires are destructive and inflict massive, irreversible harm to victims' lives and natural resources. Researchers have proposed commissioning unmanned aerial vehicles (UAVs) to provide firefighters with real-time tracking information;…

机器人学 · 计算机科学 2019-03-19 Esmaeil Seraj , Andrew Silva , Matthew Gombolay

The use of Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs) has seen significant growth in the research community, industry, and society. Many of these agents are equipped with communication systems that are essential for…

机器人学 · 计算机科学 2023-07-03 Daniel Bonilla Licea , Giuseppe Silano , Mounir Ghogho , Martin Saska

Urban searches demand rapid, defensible decisions and sustained physical effort under high cognitive and situational load. Incident commanders must plan, coordinate, and document time-critical operations, while field searchers execute…

Climate change is one of the defining challenges of the 21st century, and many in the robotics community are looking for ways to contribute. This paper presents a roadmap for climate-relevant robotics research, identifying high-impact…

Robotic Exploration has evolved rapidly in the past two decades as new and more complex techniques have been created to explore unknown regions efficiently. Exciting advancements in exploration, autonomous navigation, and sensor technology…

机器人学 · 计算机科学 2023-07-18 Akanimoh Adeleye

An innovative sort of mobility platform that can both drive and fly is the air-ground robot. The need for an agile flight cannot be satisfied by traditional path planning techniques for air-ground robots. Prior studies had mostly focused on…

机器人学 · 计算机科学 2023-05-16 Xiaoyu Wang , Kangyao Huang , Xinyu Zhang , Honglin Sun , Wenzhuo Liu , Huaping Liu , Jun Li , Pingping Lu

This paper presents a novel decentralized interactive architecture for aerial and ground mobile robots cooperation. The aerial mobile robot is used to provide a global coverage during an area inspection, while the ground mobile robot is…

The field of autonomous navigation for unmanned ground vehicles (UGVs) is in continuous growth and increasing levels of autonomy have been reached in the last few years. However, the task becomes more challenging when the focus is on the…

机器人学 · 计算机科学 2024-10-24 Achille Chiuchiarelli , Giacomo Franchini , Francesco Messina , Marcello Chiaberge

Aerial robots have the potential to play a crucial role in assisting humans with complex and dangerous tasks. Nevertheless, the future industry demands innovative solutions to streamline the interaction process between humans and drones to…

机器人学 · 计算机科学 2024-04-09 Luca Morando , Giuseppe Loianno