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The increasing complexity of natural disaster incidents demands innovative technological solutions to support first responders in their efforts. This paper introduces the TRIFFID system, a comprehensive technical framework that integrates…

This report presents a heterogeneous robotic system designed for remote primary triage in mass-casualty incidents (MCIs). The system employs a coordinated air-ground team of unmanned aerial vehicles (UAVs) and unmanned ground vehicles…

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…

Systems and Control · Electrical Eng. & Systems 2024-09-10 Zhenchang Liu , Mingrui Hao

UAVs are playing an increasingly important role in the field of wilderness rescue by virtue of their flexibility. This paper proposes a fusion of UAV vision technology and satellite image analysis technology for active wildfires detection…

Artificial Intelligence · Computer Science 2023-12-07 Chang Liu , Tamas Sziranyi

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…

Robotics · Computer Science 2025-02-07 Filip Novák , Tomáš Báča , Martin Saska

Autonomous docking between Unmanned Aerial Vehicles (UAVs) and ground robots is essential for heterogeneous systems, yet most existing approaches target wheeled platforms whose limited mobility constrains exploration in complex terrains.…

Robotics · Computer Science 2026-03-10 Haozhe Xu , Cheng Cheng , Hongrui Sang , Zhipeng Wang , Qiyong He , Xiuxian Li , Bin He

Advances in hardware technology have facilitated more integration of sophisticated software toward augmenting the development of Unmanned Vehicles (UVs) and mitigating constraints for onboard intelligence. As a result, UVs can operate in…

Artificial Intelligence · Computer Science 2020-07-21 Somaiyeh MahmoudZadeh , David MW Powers , Reza Bairam Zadeh

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…

Robotics · Computer Science 2022-09-26 Durgakant Pushp , Swapnil Kalhapure , Kaushik Das , Lantao Liu

Autonomous aerial robots are increasingly being deployed in real-world scenarios, where transparent glass obstacles present significant challenges to reliable navigation. Researchers have investigated the use of non-contact sensors and…

Robotics · Computer Science 2025-05-12 Xinyi Chen , Yichen Zhang , Hetai Zou , Junzhe Wang , Shaojie Shen

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…

Robotics · Computer Science 2021-12-16 Mohit Vohra , Laxmidhar Behera

Heterogeneous air-ground robot teams combine complementary sensing modalities, mobility characteristics, and spatial viewpoints that can significantly enhance perception in complex outdoor environments. However, progress in multi-robot…

This paper presents an autonomous navigation system for ground robots traversing aggressive unstructured terrain through a cohesive arrangement of mapping, deliberative planning and reactive behaviour modules. All systems are aware of…

This paper addresses the Dynamic UGV-UAV Cooperative Path Planning (DUCPP) problem involving one unmanned ground vehicle (UGV) assisted by one or more unmanned aerial vehicles (UAVs) operating on an uncertain road network with potentially…

Robotics · Computer Science 2026-04-29 Ninh Nguyen , Srinivas Akella

Research in the field of autonomous Unmanned Aerial Vehicles (UAVs) has significantly advanced in recent years, mainly due to their relevance in a large variety of commercial, industrial, and military applications. However, UAV navigation…

Computer Vision and Pattern Recognition · Computer Science 2020-02-03 Akkas Haque , Ahmed Elsaharti , Tarek Elderini , Mohamed Atef Elsaharty , Jeremiah Neubert

We present the results of experiments performed using a team of small autonomous underwater vehicles (AUVs) to determine the location of an isobath. The primary contributions of this work are (1) the development of a novel objective…

Robotics · Computer Science 2024-12-30 Benjamin Biggs , Daniel J. Stilwell , Harun Yetkin , James McMahon

This research aims at developing path and motion planning algorithms for a tethered Unmanned Aerial Vehicle (UAV) to visually assist a teleoperated primary robot in unstructured or confined environments. The emerging state of the practice…

Robotics · Computer Science 2020-07-21 Xuesu Xiao

As mobile robots find increasing use in outdoor applications, designing energy-efficient robot navigation algorithms is gaining importance. There are two primary approaches to energy efficient navigation: Offline approaches rely on a…

Robotics · Computer Science 2019-07-16 Minghan Wei , Volkan Isler

Rescue vessels are the main actors in maritime safety and rescue operations. At the same time, aerial drones bring a significant advantage into this scenario. This paper presents the research directions of the AutoSOS project, where we work…

This report overviews a set of recent contributions in the field of path planning that were developed to enable the realization of the autonomous aerial robotic worker for inspection operations. The specific algorithmic contributions…

Robotics · Computer Science 2017-03-09 Kostas Alexis

Wild-land fire fighting is a hazardous job. A key task for firefighters is to observe the "fire front" to chart the progress of the fire and areas that will likely spread next. Lack of information of the fire front causes many accidents.…

Robotics · Computer Science 2018-03-22 Huy Xuan Pham , Hung Manh La , David Feil-Seifer , Matthew Dean