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The usage of Unmanned Aerial Vehicles (UAVs) in the context of structural health inspection is recently gaining tremendous popularity. Camera mounted UAVs enable the fast acquisition of a large number of images often used for mapping, 3D…

Computer Vision and Pattern Recognition · Computer Science 2021-10-12 Alon Oring

Controlling complex tasks in robotic systems, such as circular motion for cleaning or following curvy lines, can be dealt with using nonlinear vector fields. In this paper, we introduce a novel approach called rotational obstacle avoidance…

Robotics · Computer Science 2023-06-29 Lukas Huber , Jean-Jacques Slotine , Aude Billard

The safety of train operations is largely dependent on the health of rail tracks, necessitating regular and meticulous inspection and maintenance. A significant part of such inspections involves geometric measurements of the tracks to…

Robotics · Computer Science 2024-10-29 Lihao Qiu , Ming Zhu , JeeWoong Park , Yingtao Jiang , Hualiang , Teng

Reducing unexpected urban traffic congestion caused by en-route events (e.g., road closures, car crashes, etc.) often requires fast and accurate reactions to choose the best-fit traffic signals. Traditional traffic light control systems,…

Machine Learning · Computer Science 2023-09-12 Jiaying Guo , Michael R. Jones , Soufiene Djahel , Shen Wang

Construction robots operate in unstructured construction sites, where effective visual perception is crucial for ensuring safe and seamless operations. However, construction robots often handle large elements and perform tasks across…

Robotics · Computer Science 2024-12-17 Jia Xu , Manish Dixit , Xi Wang

Efficient, accurate, and flexible relative localization is crucial in air-ground collaborative tasks. However, current approaches for robot relative localization are primarily realized in the form of distributed multi-robot SLAM systems…

Micro Air Vehicles (MAVs) are increasingly being used for complex or hazardous tasks in enclosed and cluttered environments such as surveillance or search and rescue. With this comes the necessity for sensors that can operate in poor…

Robotics · Computer Science 2021-03-04 Nikhil Wessendorp , Raoul Dinaux , Julien Dupeyroux , Guido de Croon

Obstacle avoidance is essential for ensuring the safety of autonomous vehicles. Accurate perception and motion planning are crucial to enabling vehicles to navigate complex environments while avoiding collisions. In this paper, we propose…

Computer Vision and Pattern Recognition · Computer Science 2025-07-17 Van-Hoang-Anh Phan , Chi-Tam Nguyen , Doan-Trung Au , Thanh-Danh Phan , Minh-Thien Duong , My-Ha Le

In disaster response and situation assessment, robots have great potential in reducing the risks to the safety and health of first responders. As the situations encountered and the required capabilities of the robots deployed in such…

Robotics · Computer Science 2026-02-24 Stefan Fabian , Aljoscha Schmidt , Jonas Süß , Dishant , Aum Oza , Oskar von Stryk

There are few industries which use manually controlled robots for carrying material and this cannot be used all the time in all the places. So, it is very tranquil to have robots which can follow a specific human by following the unique…

Robotics · Computer Science 2021-09-08 Sai Nikhil Gona , Prithvi Raj Bandhakavi

Object tracking in inland waterways plays a crucial role in safe and cost-effective applications, including waterborne transportation, sightseeing tours, environmental monitoring and surface rescue. Our Unmanned Surface Vehicle (USV),…

Computer Vision and Pattern Recognition · Computer Science 2025-06-24 Shanliang Yao , Runwei Guan , Yi Ni , Sen Xu , Yong Yue , Xiaohui Zhu , Ryan Wen Liu

Reliable obstacle detection and classification in rough and unstructured terrain such as agricultural fields or orchards remains a challenging problem. These environments involve large variations in both geometry and appearance, challenging…

Robotics · Computer Science 2019-03-14 Mikkel Kragh , James Underwood

This paper proposes RUR53: an Unmanned Ground Vehicle able to autonomously navigate through, identify, and reach areas of interest; and there recognize, localize, and manipulate work tools to perform complex manipulation tasks. The proposed…

The research into autonomous driving applications has observed an increase in computer vision-based approaches in recent years. In attempts to develop exclusive vision-based systems, visual odometry is often considered as a key element to…

Computer Vision and Pattern Recognition · Computer Science 2020-09-22 Kai Li Lim , Thomas Bräunl

This paper presents the perception system of a new professional cleaning robot for large public places. The proposed system is based on multiple sensors including 3D and 2D lidar, two RGB-D cameras and a stereo camera. The two lidars…

Vision sensors are versatile and can capture a wide range of visual cues, such as color, texture, shape, and depth. This versatility, along with the relatively inexpensive availability of machine vision cameras, played an important role in…

Computer Vision and Pattern Recognition · Computer Science 2024-04-18 Muhammad Z. Alam , Zeeshan Kaleem , Sousso Kelouwani

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…

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

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…

Robotics · Computer Science 2023-07-03 Daniel Bonilla Licea , Giuseppe Silano , Mounir Ghogho , Martin Saska

Successful robotic grasping in cluttered environments not only requires a model to visually ground a target object but also to reason about obstructions that must be cleared beforehand. While current vision-language embodied reasoning…