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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…

In this work we propose a holistic framework for autonomous aerial inspection tasks, using semantically-aware, yet, computationally efficient planning and mapping algorithms. The system leverages state-of-the-art receding horizon…

Vision-based target tracking is crucial for unmanned surface vehicles (USVs) to perform tasks such as inspection, monitoring, and surveillance. However, real-time tracking in complex maritime environments is challenging due to dynamic…

计算机视觉与模式识别 · 计算机科学 2026-02-26 Muhayy Ud Din , Ahsan B. Bakht , Waseem Akram , Yihao Dong , Lakmal Seneviratne , Irfan Hussain

Laparoscopic Field of View (FOV) control is one of the most fundamental and important components in Minimally Invasive Surgery (MIS), nevertheless, the traditional manual holding paradigm may easily bring fatigue to surgical assistants, and…

机器人学 · 计算机科学 2021-09-23 Bin Li , Bo Lu , Yiang Lu , Qi Dou , Yun-Hui Liu

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…

机器人学 · 计算机科学 2020-07-21 Xuesu Xiao

Telemanipulation has become a promising technology that combines human intelligence with robotic capabilities to perform tasks remotely. However, it faces several challenges such as insufficient transparency, low immersion, and limited…

机器人学 · 计算机科学 2025-03-06 Max Grobbel , Balint Varga , Sören Hohmann

This article introduces a new mobile-based application of modern information and communication technology in agriculture based on Internet of Things (IoT), embedded systems and an unmanned aerial vehicle (UAV). The proposed agricultural…

系统与控制 · 电气工程与系统科学 2021-01-07 Mohamed Esmail Karar , Faris Alotaibi , Abdullah AL Rasheed , Omar Reyad

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…

Aerial cinematography is revolutionizing industries that require live and dynamic camera viewpoints such as entertainment, sports, and security. However, safely piloting a drone while filming a moving target in the presence of obstacles is…

Limited power and computational resources, absence of high-end sensor equipment and GPS-denied environments are challenges faced by autonomous micro areal vehicles (MAVs). We address these challenges in the context of autonomous navigation…

机器人学 · 计算机科学 2020-09-10 Max Christl

Despite the rapid technological progress, autonomous vehicles still face a wide range of complex driving situations that require human intervention. Teleoperation technology offers a versatile and effective way to address these challenges.…

机器人学 · 计算机科学 2024-02-16 Domagoj Majstorovic , Simon Hoffmann , Frank Diermeyer

Multimodal fusion of remote sensing images serves as a core technology for overcoming the limitations of single-source data and improving the accuracy of surface information extraction, which exhibits significant application value in fields…

计算机视觉与模式识别 · 计算机科学 2026-01-12 Siyu Zhang , Lianlei Shan , Runhe Qiu

One of the goals in telepresence is to be able to perform daily tasks remotely. A key requirement for this is a robust and reliable mobile robotic platform. Ideally, such a platform should support 360-degree stereoscopic vision and…

机器人学 · 计算机科学 2018-05-25 Mojtaba Karimi , Tamay Aykut , Eckehard Steinbach

The growing proliferation of unmanned aerial vehicles (UAVs) poses major challenges for reliable airspace surveillance, as drones are typically small, have low radar cross-sections, and often move slowly in cluttered environments. These…

信号处理 · 电气工程与系统科学 2026-04-16 Anders Malthe Westerkam , Jakob Möderl , Erik Leitinger , Troels Pedersen

Unmanned aerial vehicle (UAV) tracking is critical for applications like surveillance, search-and-rescue, and autonomous navigation. However, the high-speed movement of UAVs and targets introduces unique challenges, including real-time…

计算机视觉与模式识别 · 计算机科学 2025-08-22 You Wu , Xucheng Wang , Dan Zeng , Hengzhou Ye , Xiaolan Xie , Qijun Zhao , Shuiwang Li

Thermal imaging from unmanned aerial vehicles (UAVs) holds significant potential for applications in search and rescue, wildlife monitoring, and emergency response, especially under low-light or obscured conditions. However, the scarcity of…

计算机视觉与模式识别 · 计算机科学 2025-07-10 Antonella Barisic Kulas , Andreja Jurasovic , Stjepan Bogdan

This paper presents a general framework integrating vision and acoustic sensor data to enhance localization and mapping in highly dynamic and complex underwater environments, with a particular focus on fish farming. The proposed pipeline is…

机器人学 · 计算机科学 2024-09-25 David Botta , Luca Ebner , Andrej Studer , Victor Reijgwart , Roland Siegwart , Eleni Kelasidi

Coordinated control of connected and automated vehicles (CAVs) emerges as a promising technology to improve traffic safety, efficiency, and sustainability. Meanwhile, mixed traffic, where CAVs coexist with conventional human-driven vehicles…

系统与控制 · 电气工程与系统科学 2025-06-24 Tong Zhao , Nikolce Murgovski , Baigen Cai , Wei ShangGuan

Unmanned Aerial Vehicles (UAV) have been standing out due to the wide range of applications in which they can be used autonomously. However, they need intelligent systems capable of providing a greater understanding of what they perceive to…

机器人学 · 计算机科学 2022-09-15 Matheus G. Mateus , Ricardo B. Grando , Paulo L. J. Drews-Jr

In an effort to lower the barrier to entry in underwater manipulation, this paper presents an open-source, user-friendly framework for bimanual teleoperation of a light-duty underwater vehicle-manipulator system (UVMS). This framework…

机器人学 · 计算机科学 2024-04-08 Justin Sitler , Srikarran Sowrirajan , Brendan Englot , Long Wang