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Titlebook: Advances in Service and Industrial Robotics; RAAD 2024 Doina Pisla,Giuseppe Carbone,Calin Vaida Conference proceedings 2024 The Editor(s) (

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发表于 2025-3-21 19:20:22 | 显示全部楼层 |阅读模式
期刊全称Advances in Service and Industrial Robotics
期刊简称RAAD 2024
影响因子2023Doina Pisla,Giuseppe Carbone,Calin Vaida
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发行地址Presents the proceedings of the 33rd International Conference on Robotics in Alpe-Adria-Danube Region.Gathers contributions by researchers.Offers a source of information and inspiration for researcher
学科分类Mechanisms and Machine Science
图书封面Titlebook: Advances in Service and Industrial Robotics; RAAD 2024 Doina Pisla,Giuseppe Carbone,Calin Vaida Conference proceedings 2024 The Editor(s) (
影响因子.This book presents the Proceedings of the 33rd International Conference on Robotics in Alpe-Adria-Danube Region (RAAD), held in Cluj-Napoca, Romania, June 5–7, 2024. It gathers contributions by researchers from multiple countries on all major areas of robotic research, development, and innovation, as well as new applications and current trends. The topics include perception and learning, medical robotics and biomechanics, industrial robots and education, kinematics and dynamics, motion planning and control, service robotics and applications, mobile robots and innovative robot design, etc. Given its scope, the book offers a source of information and inspiration for researchers seeking to improve their work and gather new ideas for future developments..
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Mechanisms and Machine Sciencehttp://image.papertrans.cn/a/image/149666.jpg
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978-3-031-59259-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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https://doi.org/10.1057/978-1-137-56924-0f reasons, especially when data is expensive to obtain in terms of time and effort, as is the case with robots in the real world. In this paper, we describe a method for determining the sample quantity for training a vision-to-motion DNN (Deep Neural Network). The training task is to straighten a si
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International Series in Social Welfare specific conditions not available to many researchers. In this paper, we use the affordable Tello drone with support for ROS to implement and deploy computationally efficient algorithms for ADR. We propose the use of a control system based on a combination of the Feedback Linearization and the Mode
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