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This paper proposes a sliding mode controller with smooth control effort for a class of nonlinear plants. The proposed controller is created by allowing some constant parameters of the earlier smooth sliding control (SSC) to vary as a…

系统与控制 · 电气工程与系统科学 2023-10-31 Alessandro Jacoud Peixoto , Wenderson G. Serrantola , Fernando Lizarralde

Interest in utilizing autonomous uncrewed aerial vehicles (UAVs) for under-canopy forest remote sensing has increased in recent years, resulting in the publication of numerous autonomous flight algorithms in the scientific literature. To…

机器人学 · 计算机科学 2026-05-28 Aleksi Karhunen , Teemu Hakala , Väinö Karjalainen , Eija Honkavaara

In this paper, we propose a reachable set based collision avoidance algorithm for unmanned aerial vehicles (UAVs). UAVs have been deployed for agriculture research and management, surveillance and sensor coverage for threat detection and…

系统与控制 · 计算机科学 2016-09-27 Yuchen Zhou , John S. Baras

An important capability of autonomous Unmanned Aerial Vehicles (UAVs) is autonomous landing while avoiding collision with obstacles in the process. Such capability requires real-time local trajectory planning. Although trajectory-planning…

机器人学 · 计算机科学 2021-11-19 Yossi Magrisso , Ehud Rivlin , Hector Rotstein

For intelligent quadcopter UAVs, a robust and reliable autonomous planning system is crucial. Most current trajectory planning methods for UAVs are suitable for static environments but struggle to handle dynamic obstacles, which can pose…

机器人学 · 计算机科学 2023-12-29 Jiageng Zhong , Ming Li , Yinliang Chen , Zihang Wei , Fan Yang , Haoran Shen

Collapsing terrains, often present in search and rescue missions or planetary exploration, pose significant challenges for quadruped robots. This paper introduces a robust locomotion framework for safe navigation over unstable surfaces by…

The growing focus on reducing energy consumption, particularly in electric vehicles with limited autonomy, has prompted innovative solutions. In this context, we propose a real-time flap-based control system aimed at improving aerodynamic…

Periodical inspection and maintenance of critical infrastructure such as dams, penstocks, and locks are of significant importance to prevent catastrophic failures. Conventional manual inspection methods require inspectors to climb along a…

Monocular simultaneous localization and mapping (SLAM) algorithms estimate drone poses and build a 3D map using a single camera. Current algorithms include sparse methods that lack detailed geometry, while learning-driven approaches produce…

机器人学 · 计算机科学 2025-11-25 Jeryes Danial , Yosi Ben Asher , Itzik Klein

This paper proposes a novel mission planning platform, capable of efficiently deploying a team of UAVs to cover complex-shaped areas, in various remote sensing applications. Under the hood lies a novel optimization scheme for grid-based…

This paper presents an autonomous sensing framework for identifying and localizing multiple users in Fifth Generation (5G) cooperative networks using an Unmanned Aerial Vehicle (UAV) that is not part of the serving access network. Unlike…

信号处理 · 电气工程与系统科学 2026-03-03 Niccolò Paglierani , Francesco Linsalata , Vineeth Teeda , Davide Scazzoli , Maurizio Magarini

Unmanned Aerial Vehicles have received much attention in recent years due to its wide range of applications, such as exploration of an unknown environment to acquire a 3D map without prior knowledge of it. Existing exploration methods have…

机器人学 · 计算机科学 2021-08-06 EungChang Mason Lee , Duckyu Choi , Hyun Myung

This paper introduces a testbed to study distributed sensing problems of Unmanned Aerial Vehicles (UAVs) exhibiting swarm intelligence. Several Smart City applications, such as transport and disaster response, require efficient collection…

机器人学 · 计算机科学 2022-08-12 Chuhao Qin , Fethi Candan , Lyudmila S. Mihaylova , Evangelos Pournaras

The unmanned aerial vehicles (UAVs) are efficient tools for diverse tasks such as electronic reconnaissance, agricultural operations and disaster relief. In the complex three-dimensional (3D) environments, the path planning with obstacle…

机器人学 · 计算机科学 2025-01-17 Junteng Mao , Ziye Jia , Hanzhi Gu , Chenyu Shi , Haomin Shi , Lijun He , Qihui Wu

Unmanned Aerial Vehicles (UAVs) have a great potential to support search tasks in unstructured environments. Small, lightweight, low speed and agile UAVs, such as multi-rotors platforms can incorporate many kinds of sensors that are…

多智能体系统 · 计算机科学 2019-01-23 A. L. Alfeo , M. G. C. A. Cimino , N. De Francesco , A. Lazzeri , M. Lega , G. Vaglini

In this paper, we present a comprehensive UAV system design to perform the highly complex task of off-centered aerial grasping. This task has several interdisciplinary research challenges which need to be addressed at once. The main design…

机器人学 · 计算机科学 2024-10-10 Ashish Kumar , Laxmidhar Behera

This work demonstrates universal dynamic perching capabilities for quadrotors of various sizes and on surfaces with different orientations. By employing a non-dimensionalization framework and deep reinforcement learning, we systematically…

机器人学 · 计算机科学 2024-12-30 Bryan Habas , Aaron Brown , Donghyeon Lee , Mitchell Goldman , Bo Cheng

Despite great strides in language-guided manipulation, existing work has been constrained to table-top settings. Table-tops allow for perfect and consistent camera angles, properties are that do not hold in mobile manipulation. Task plans…

机器人学 · 计算机科学 2023-11-08 Priyam Parashar , Vidhi Jain , Xiaohan Zhang , Jay Vakil , Sam Powers , Yonatan Bisk , Chris Paxton

The integration of autonomous unmanned aerial vehicles (UAVs) into large-scale artistic projects has emerged as a new application in robotics. This paper presents the design, deployment, and testing of a novel multi-drone system for…

Bridges are an essential part of the transportation infrastructure and need to be monitored periodically. Visual inspections by dedicated teams have been one of the primary tools in structural health monitoring (SHM) of bridge structures.…

计算机视觉与模式识别 · 计算机科学 2019-05-24 Seyed Omid Sajedi , Xiao Liang