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Intelligent Service Robotics最新文献

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On automatic camera shooting systems via PTZ control and DNN-based visual sensing 基于PTZ控制和dnn视觉传感的自动摄像系统
IF 2.5 4区 计算机科学 Q3 ROBOTICS Pub Date : 2023-05-10 DOI: 10.1007/s11370-023-00462-w
Yanhao Ren, Nannan Yan, Xiao Yu, FengFeng Tang, Qi Tang, Yi Wang, Wenlian Lu
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引用次数: 0
Multi-robot path planning using a hybrid dynamic window approach and modified chaotic neural oscillator-based hyperbolic gravitational search algorithm in a complex terrain 基于混合动态窗口法和改进混沌神经振子双曲引力搜索算法的复杂地形下多机器人路径规划
IF 2.5 4区 计算机科学 Q3 ROBOTICS Pub Date : 2023-03-25 DOI: 10.1007/s11370-023-00460-y
Vikas, D. Parhi
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引用次数: 0
Development of a whole-body walking rehabilitation robot and power assistive method using EMG signals 基于肌电信号的全身行走康复机器人及其动力辅助方法的研制
IF 2.5 4区 计算机科学 Q3 ROBOTICS Pub Date : 2023-03-23 DOI: 10.1007/s11370-023-00459-5
Jae-Han Wang, Jung-Yup Kim
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引用次数: 0
A ROS-based distributed multi-robot localization and orientation strategy for heterogeneous robots 一种基于ROS的异构机器人分布式多机器人定位与定向策略
IF 2.5 4区 计算机科学 Q3 ROBOTICS Pub Date : 2023-02-23 DOI: 10.1007/s11370-023-00457-7
Abdussalam A. Alajami, Nil Palau, S. López-Soriano, R. Pous
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引用次数: 0
Hierarchical Topology Map with Explicit Corridor for global path planning of mobile robots 带显式廊道的层次拓扑地图用于移动机器人全局路径规划
IF 2.5 4区 计算机科学 Q3 ROBOTICS Pub Date : 2023-02-16 DOI: 10.1007/s11370-023-00458-6
Jeong-woo Han, Soo Jeon, Hyock-Ju Kwon
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引用次数: 0
Object-aware data association for the semantically constrained visual SLAM 语义约束可视化SLAM的对象感知数据关联
IF 2.5 4区 计算机科学 Q3 ROBOTICS Pub Date : 2023-02-15 DOI: 10.1007/s11370-023-00455-9
Yang Liu, Chi Guo, Yingli Wang
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引用次数: 0
Editorial from the new Editor-in-Chief 新主编的社论
IF 2.5 4区 计算机科学 Q3 ROBOTICS Pub Date : 2023-02-02 DOI: 10.1007/s11370-023-00456-8
Hyoukryeol Choi
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引用次数: 0
RUN: a robust cluster-based planning for fast self-reconfigurable modular robotic systems RUN:一个健壮的基于集群的快速自重构模块化机器人系统规划
IF 2.5 4区 计算机科学 Q3 ROBOTICS Pub Date : 2023-01-18 DOI: 10.1007/s11370-023-00454-w
Aliah Majed, Hassan Harb, A. Nasser, B. Clement
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引用次数: 1
An automatic modeling method for modular reconfigurable robots based on model identification 基于模型识别的模块化可重构机器人自动建模方法
IF 2.5 4区 计算机科学 Q3 ROBOTICS Pub Date : 2023-01-10 DOI: 10.1007/s11370-023-00453-x
Zeyu Li, Hongxing Wei, Ziyi Yuan, Gang Liu
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引用次数: 0
Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends. 无人驾驶飞行器(uav):实际方面,应用,开放挑战,安全问题和未来趋势。
IF 2.5 4区 计算机科学 Q3 ROBOTICS Pub Date : 2023-01-01 DOI: 10.1007/s11370-022-00452-4
Syed Agha Hassnain Mohsan, Nawaf Qasem Hamood Othman, Yanlong Li, Mohammed H Alsharif, Muhammad Asghar Khan

Recently, unmanned aerial vehicles (UAVs) or drones have emerged as a ubiquitous and integral part of our society. They appear in great diversity in a multiplicity of applications for economic, commercial, leisure, military and academic purposes. The drone industry has seen a sharp uptake in the last decade as a model to manufacture and deliver convergence, offering synergy by incorporating multiple technologies. It is due to technological trends and rapid advancements in control, miniaturization, and computerization, which culminate in secure, lightweight, robust, more-accessible and cost-efficient UAVs. UAVs support implicit particularities including access to disaster-stricken zones, swift mobility, airborne missions and payload features. Despite these appealing benefits, UAVs face limitations in operability due to several critical concerns in terms of flight autonomy, path planning, battery endurance, flight time and limited payload carrying capability, as intuitively it is not recommended to load heavy objects such as batteries. As a result, the primary goal of this research is to provide insights into the potentials of UAVs, as well as their characteristics and functionality issues. This study provides a comprehensive review of UAVs, types, swarms, classifications, charging methods and regulations. Moreover, application scenarios, potential challenges and security issues are also examined. Finally, future research directions are identified to further hone the research work. We believe these insights will serve as guidelines and motivations for relevant researchers.

最近,无人驾驶飞行器(uav)或无人机已经成为我们社会中无处不在和不可或缺的一部分。它们在经济、商业、休闲、军事和学术目的的多种应用中以极大的多样性出现。无人机行业在过去十年中迅速发展,成为制造和交付融合的典范,通过整合多种技术提供协同作用。这是由于控制、小型化和计算机化方面的技术趋势和快速进步,最终实现了安全、轻量化、坚固、更容易获取和成本效益高的无人机。无人机支持隐性的特殊性,包括进入灾区、快速机动性、空中任务和有效载荷特征。尽管有这些吸引人的好处,但由于飞行自主性、路径规划、电池续航时间、飞行时间和有限的有效载荷承载能力等几个关键问题,无人机在可操作性方面面临限制,因为直觉上不建议装载诸如电池之类的重物。因此,本研究的主要目标是深入了解无人机的潜力,以及它们的特性和功能问题。本研究对无人机、类型、蜂群、分类、收费方法和法规进行了全面的综述。此外,还研究了应用场景、潜在挑战和安全问题。最后,确定了未来的研究方向,以进一步完善研究工作。我们相信这些见解将为相关研究人员提供指导和动力。
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引用次数: 43
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Intelligent Service Robotics
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