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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…

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…

The paper proposes a reliable and robust planning solution to the long range robotic navigation problem in extremely cluttered environments. A two-layer planning architecture is proposed that leverages both the environment map and the…

机器人学 · 计算机科学 2021-08-03 Shakeeb Ahmad , Andrew B. Mills , Eugene R. Rush , Eric W. Frew , J. Sean Humbert

Radio maps are emerging as a popular means to endow next-generation wireless communications with situational awareness. In particular, radio maps are expected to play a central role in unmanned aerial vehicle (UAV) communications since they…

信号处理 · 电气工程与系统科学 2020-05-07 Daniel Romero , Raju Shrestha , Yves Teganya , Sundeep Prabhakar Chepuri

In this study, a single autonomous underwater vehicle (AUV) aims to rendezvous with a submerged leader recovery vehicle through a cluttered and variable operating field. The rendezvous problem is transformed into a nonlinear optimal control…

机器人学 · 计算机科学 2016-06-17 Somaiyeh Mahmoud Zadeh , Amir Mehdi Yazdani , Karl Sammut , David M. W Powers

We introduce a multi-sensor navigation system for autonomous surface vessels (ASV) intended for water-quality monitoring in freshwater lakes. Our mission planner uses satellite imagery as a prior map, formulating offline a mission-level…

机器人学 · 计算机科学 2024-08-26 Philip Huang , Tony Wang , Florian Shkurti , Timothy D. Barfoot

Detection of artificial objects from underwater imagery gathered by Autonomous Underwater Vehicles (AUVs) is a key requirement for many subsea applications. Real-world AUV image datasets tend to be very large and unlabelled. Furthermore,…

计算机视觉与模式识别 · 计算机科学 2023-06-09 Suraj Bijjahalli , Oscar Pizarro , Stefan B. Williams

Accurate relative state observation of Unmanned Underwater Vehicles (UUVs) for tracking uncooperative targets remains a significant challenge due to the absence of GPS, complex underwater dynamics, and sensor limitations. Existing…

机器人学 · 计算机科学 2025-06-17 Fen Liu , Chengfeng Jia , Na Zhang , Shenghai Yuan , Rong Su

Efficient trajectory generation in complex dynamic environments remains an open problem in the unmanned surface vehicle (USV). The perception of the USV is usually interfered with by the swing of the hull and the ambient weather, making it…

机器人学 · 计算机科学 2023-01-31 Tao Huang , Zhe Chen , Wang Gao , Zhenfeng Xue , Yong Liu

This paper introduces a statistical model and corresponding sequential Bayesian estimation method for terrain-based navigation using side-scan sonar (SSS) data. The presented approach relies on slant range measurements extracted from the…

机器人学 · 计算机科学 2023-06-13 Ellen Davenport , Junsu Jang , Florian Meyer

Coral reefs are fast-changing and complex ecosystems that are crucial to monitor and study. Biological hotspot detection can help coral reef managers prioritize limited resources for monitoring and intervention tasks. Here, we explore the…

机器人学 · 计算机科学 2024-02-05 Daniel Yang , Levi Cai , Stewart Jamieson , Yogesh Girdhar

To explore oceans on ice-covered moons in the solar system, energy-efficient Autonomous Underwater Vehicles (AUVs) with long ranges must cover enough distance to record and collect enough data. These usually underactuated vehicles are hard…

机器人学 · 计算机科学 2024-06-17 Lukas Rust , Shubham Vyas , Bilal Wehbe

This paper considers three related mobile robot multi-target sensory coverage and inspection planning problems in 2-D environments. In the first problem, a mobile robot must find the shortest path to observe multiple targets with a limited…

机器人学 · 计算机科学 2024-05-27 E. Fourney , J. W. Burdick , E. D. Rimon

Research on coastal regions traditionally involves methods like manual sampling, monitoring buoys, and remote sensing, but these methods face challenges in spatially and temporally diverse regions of interest. Autonomous surface vehicles…

机器人学 · 计算机科学 2024-05-29 Mingi Jeong

Prevalent solutions for Connected and Autonomous vehicle (CAV) mapping include high definition map (HD map) or real-time Simultaneous Localization and Mapping (SLAM). Both methods only rely on vehicle itself (onboard sensors or embedded…

机器人学 · 计算机科学 2023-01-24 Hanlin Chen , Renyuan Luo , Yiheng Feng

Unmanned aerial vehicles (UAVs) have received plenty of attention due to their high flexibility and enhanced communication ability, nonetheless, the limited onboard energy restricts UAVs' application on persistent data collection missions…

信号处理 · 电气工程与系统科学 2024-10-10 Rui Wang , Deshi Li , Qingqing Wu , Kaitao Meng , Boning Feng , Lele Cong

Approximately seventy-one percent of the Earth is covered in water. Of that area, ninety-five percent of the ocean has never been explored or mapped. There are several engineering challenges that have prevented the exploration of the deep…

大气与海洋物理 · 物理学 2025-05-30 Devanshu Saxena

To eliminate the effect of ocean currents when addressing the optimal path in the underwater environment, an intelligent algorithm designed for the unmanned underwater vehicle (UUV) is proposed in this paper. The algorithm consists of two…

机器人学 · 计算机科学 2022-06-22 Danjie Zhu , Simon X. Yang

This paper presents a new swarm intelligence-based approach to deal with the cooperative path planning problem of unmanned aerial vehicles (UAVs), which is essential for the automatic inspection of infrastructure. The approach uses a 3D…

系统与控制 · 电气工程与系统科学 2024-02-14 Duy Nam Bui , Thuy Ngan Duong , Manh Duong Phung

This paper presents a scalable acoustic navigation approach for the unified command, control and coordination of multiple autonomous underwater vehicles (AUVs). Existing multi-AUV operations typically achieve coordination manually, by…

机器人学 · 计算机科学 2022-05-27 Nicholas R. Rypkema , Henrik Schmidt , Erin M. Fischell