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In recent years, the Robot Operating System (ROS) is developing rapidly and has been widely used in robotics research because of its flexible, open source, and extensive advantages. In scientific research, the corresponding hardware…

机器人学 · 计算机科学 2018-04-10 Liulong Ma , Yibo Gao , ChuanMing Zhu , Yanjie Liu

This paper presents a practical approach towards implementing pathfinding algorithms on real-world and low-cost non- commercial hardware platforms. While using robotics simulation platforms as a test-bed for our algorithms we easily…

机器人学 · 计算机科学 2018-03-01 Sayyed Jaffar Ali Raza , Nitish A. Gupta , Nisarg Chitaliya , Gita R. Sukthankar

This paper introduces SMARTmBOT, an open-source mobile robot platform based on Robot Operating System 2 (ROS2). The characteristics of the SMARTmBOT, including low-cost, modular-typed, customizable and expandable design, make it an easily…

机器人学 · 计算机科学 2022-03-18 Wonse Jo , Jaeeun Kim , Ruiqi Wang , Jeremy Pan , Revanth Krishna Senthilkumaran , Byung-Cheol Min

Autonomous navigation is a long-standing field of robotics research, which provides an essential capability for mobile robots to execute a series of tasks on the same environments performed by human everyday. In this chapter, we present a…

机器人学 · 计算机科学 2020-12-08 Anh Nguyen , Quang Tran

Enabling robots to autonomously navigate unknown, complex, and dynamic real-world environments presents several challenges, including imperfect perception, partial observability, localization uncertainty, and safety constraints. Current…

Mobile robotics is a research area that has witnessed incredible advances for the last decades. Robot navigation is an essential task for mobile robots. Many methods are proposed for allowing robots to navigate within different…

机器人学 · 计算机科学 2021-02-18 Omar Mohamed , Zeyad Mohsen , Mohamed Wageeh , Mohamed Hegazy

Popular navigation stacks implemented on top of open-source frameworks such as ROS(Robot Operating System) and ROS2 represent the robot workspace using a discretized 2D occupancy grid. This method, while requiring less computation,…

机器人学 · 计算机科学 2021-11-16 Vishwas N. S , Srikrishna B. R , Sudarshan T. S. B

Autonomous robots need to plan the tasks they carry out to fulfill their missions. The missions' increasing complexity does not let human designers anticipate all the possible situations, so traditional control systems based on state…

机器人学 · 计算机科学 2021-07-02 Francisco Martín , Jonatan Ginés , Vicente Matellán , Francisco J. Rodríguez

Currently, mobile robots are developing rapidly and are finding numerous applications in the industry. However, several problems remain related to their practical use, such as the need for expensive hardware and high power consumption…

机器人学 · 计算机科学 2022-12-14 Taekyung Kim , Seunghyun Lim , Gwanjun Shin , Geonhee Sim , Dongwon Yun

Developments in mobile robot navigation have enabled robots to operate in warehouses, retail stores, and on sidewalks around pedestrians. Various navigation solutions have been proposed, though few as widely adopted as ROS Navigation. 10…

机器人学 · 计算机科学 2021-07-26 Steve Macenski , Francisco Martín , Ruffin White , Jonatan Ginés Clavero

Safe robot navigation is a fundamental research field for autonomous robots including ground mobile robots and flying robots. The primary objective of a safe robot navigation algorithm is to guide an autonomous robot from its initial…

机器人学 · 计算机科学 2017-09-05 Hang Li

Path planning of Robot is one of the challenging fields in the area of Robotics research. In this paper, we proposed a novel algorithm to find path between starting and ending position for an intelligent system. An intelligent system is…

机器人学 · 计算机科学 2013-06-21 Tirtharaj Dash , Goutam Mishra , Tanistha Nayak

The Robot Operating System 2 (ROS 2) is rapidly impacting the intelligent machines sector -- on space missions, large agriculture equipment, multi-robot fleets, and more. Its success derives from its focused design and improved capabilities…

机器人学 · 计算机科学 2023-08-02 Steve Macenski , Tom Moore , David Lu , Alexey Merzlyakov , Michael Ferguson

Reliable navigation in disaster-response and other unstructured indoor settings requires robots not only to avoid obstacles but also to recognise when those obstacles can be pushed aside. We present an adaptive, LiDAR and odometry-based…

Path planning for robotic coverage is the task of determining a collision-free robot trajectory that observes all points of interest in an environment. Robots employed for such tasks are often capable of exercising active control over…

机器人学 · 计算机科学 2020-11-17 Tushar Kusnur , Dhruv Mauria Saxena , Maxim Likhachev

In this paper, we propose the development of an interactive platform between humans and a dual-arm robotic system based on the Robot Operating System (ROS) and a multimodal artificial intelligence model. Our proposed platform consists of…

机器人学 · 计算机科学 2024-11-11 Thanh Nguyen Canh , Ba Phuong Nguyen , Hong Quan Tran , Xiem HoangVan

Quadruped robots are currently a widespread platform for robotics research, thanks to powerful Reinforcement Learning controllers and the availability of cheap and robust commercial platforms. However, to broaden the adoption of the…

With the incremental development of robotic platforms to automate the manual processes, path planning has become a critical domain with or without the knowledge of the indoor and outdoor environment. The algorithms can be intelligent or…

机器人学 · 计算机科学 2020-12-22 R. N. Somarathna

In recent years, the mobile robot has been considerable attention to researchers for its application in various environments. For a mobile robot navigating its way from starting point to a goal point while traversing through deterrents,…

机器人学 · 计算机科学 2021-09-15 Anh-Tu Nguyen , Cong-Thanh Vu

Fast and accurate path planning is important for ground robots to achieve safe and efficient autonomous navigation in unstructured outdoor environments. However, most existing methods exploiting either 2D or 2.5D maps struggle to balance…

机器人学 · 计算机科学 2023-03-10 Jiayang Liu , Xieyuanli Chen , Junhao Xiao , Sichao Lin , Zhiqiang Zheng , Huimin Lu
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