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This paper develops and compares two motion planning algorithms for a tethered UAV with and without the possibility of the tether contacting the confined and cluttered environment. Tethered aerial vehicles have been studied due to their…

Robotics · Computer Science 2018-11-07 Xuesu Xiao , Jan Dufek , Mohamed Suhail , Robin Murphy

The Coastal underwater evidence search system with surface-underwater collaboration is designed to revolutionize the search for artificial objects in coastal underwater environments, overcoming limitations associated with traditional…

This letter addresses the problem of trajectory planning in a marsupial robotic system consisting of an unmanned aerial vehicle (UAV) linked to an unmanned ground vehicle (UGV) through a non-taut tether with controllable length. To the best…

Robotics · Computer Science 2023-07-27 S. Martínez-Rozas , D. Alejo , F. Caballero , L. Merino

Current advancements in waterborne autonomous systems, together with the development of cloud-based service-oriented architectures and the recent availability of low-cost underwater acoustic modems and long-range above water wireless…

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

Unmanned Aerial Vehicles (UAVs) have become essential tools in inspection and emergency response operations due to their high maneuverability and ability to access hard-to-reach areas. However, their limited battery life significantly…

Robotics · Computer Science 2025-11-19 Simón Martínez-Rozas , David Alejo , José Javier Carpio , Fernando Caballero , Luis Merino

We present a waypoint planning algorithm for an unmanned aerial vehicle (UAV) that is teamed with an unmanned ground vehicle (UGV) for the task of search and rescue in a subterranean environment. The UAV and UGV are teamed such that the…

Robotics · Computer Science 2021-02-12 Matteo De Petrillo , Jared Beard , Yu Gu , Jason N. Gross

Harnessing human movements to command an Unmanned Aerial Vehicle (UAV) holds the potential to revolutionize their deployment, rendering it more intuitive and user-centric. In this research, we introduce a novel methodology adept at…

Robotics · Computer Science 2024-08-20 Akash Chaudhary , Tiago Nascimento , Martin Saska

This letter addresses the problem of trajectory planning in a marsupial robotic system consisting of an unmanned aerial vehicle (UAV) linked to an unmanned ground vehicle (UGV) through a non-taut tether withcontrollable length. To the best…

Robotics · Computer Science 2023-07-26 S. Mart/'inez-Rozas , D. Alejo , F. Caballero , L. Merino

Robust object detection for Unmanned Surface Vehicles (USVs) in complex water environments is essential for reliable navigation and operation. Specifically, water surface object detection faces challenges from blurred edges and diverse…

Computer Vision and Pattern Recognition · Computer Science 2025-04-11 Huilin Yin , Pengyu Wang , Senmao Li , Jun Yan , Daniel Watzenig

Coordinating a team of robots to reposition multiple objects in cluttered environments requires reasoning jointly about where robots should establish contact, how to manipulate objects once contact is made, and how to navigate safely and…

This paper investigates underwater cooperative target detection using autonomous underwater vehicles (AUVs), with a focus on the critical trade-off between cooperation efficiency and communication covertness. To tackle this challenge, we…

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…

Robotics · Computer Science 2023-01-31 Tao Huang , Zhe Chen , Wang Gao , Zhenfeng Xue , Yong Liu

Collaborative object transportation using multiple Micro Aerial Vehicles (MAVs) with limited communication is a challenging problem. In this paper we address the problem of multiple MAVs mechanically coupled to a bulky object for…

Robotics · Computer Science 2017-11-27 Andrea Tagliabue , Mina Kamel , Roland Siegwart , Juan Nieto

Self-assembly enables multi-robot systems to merge diverse capabilities and accomplish tasks beyond the reach of individual robots. Incorporating varied docking mechanisms layouts (DMLs) can enhance robot versatility or reduce costs.…

Robotics · Computer Science 2024-01-30 Lianxin Zhang , Yang Jiao , Yihan Huang , Ziyou Wang , Huihuan Qian

In industrial applications, complex tasks require human collaboration since the robot doesn't have enough dexterity. However, the robots are still implemented as tools and not as collaborative intelligent systems. To ensure safety in the…

Despite significant advancements in the research of aquatic-aerial robots, existing configurations struggle to efficiently perform underwater, surface, and aerial movement simultaneously. In this paper, we propose a novel multimodal surfing…

Robotics · Computer Science 2025-06-19 Kun Liu , Junhao Xiao , Hao Lin , Yue Cao , Hui Peng , Kaihong Huang , Huimin Lu

This paper proposes a novel trajectory generation method based on Model Predictive Control (MPC) for agile landing of an Unmanned Aerial Vehicle (UAV) onto an Unmanned Surface Vehicle (USV)'s deck in harsh conditions. The trajectory…

Despite recent progress on trajectory planning of multiple robots and path planning of a single tethered robot, planning of multiple tethered robots to reach their individual targets without entanglements remains a challenging problem. In…

Robotics · Computer Science 2023-04-26 Muqing Cao , Kun Cao , Shenghai Yuan , Thien-Minh Nguyen , Lihua Xie

This paper develops an autonomous tethered aerial visual assistant for robot operations in unstructured or confined environments. Robotic tele-operation in remote environments is difficult due to lack of sufficient situational awareness,…

Robotics · Computer Science 2019-07-11 Xuesu Xiao , Jan Dufek , Robin R. Murphy