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International Journal of Robotics & Automation最新文献

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Study on the perception of generation Z in relation to robotized selection processes Z世代对机器人选择过程的认知研究
4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-09-06 DOI: 10.15406/iratj.2023.09.00271
João Pinheiro de Barros Neto, Lucas Pereira de Oliveira
Born in the mid-1990s, Generation Z emerged in the midst of a society whose advances in digital and technological media have been shaping the way companies act, especially in hiring people. This is an emerging generation, and studies and research on it are incipient. The aim of this study was to identify and analyze the perception of Generation Z regarding the robotization of selection processes and the application of artificial intelligence. The study used a survey with online questionnaires addressing how Generation Z has behaved in robotic selection processes. Contradicting what is disclosed in the media in general, a representative part of the sample is reticent in accepting a robotic selection process conducted by artificial intelligence as a mediator; besides that, there is a certain distrust with personal data made available technologically, as there are several platforms that adhere to this technology as a method of filtering suitable candidates for a given vacancy. Although the research had a reduced number of respondents (108) and a sample of only one program from a single university, which is a limitation of the study, the analyses of the results indicate the need for companies to review the use of artificial intelligence to ensure greater humanization, starting from the selection process in organizations. Furthermore, the data reveal that Generation Z may not represent a group of people with a completely homogeneous profile as shown by the media in general.
Z世代出生于上世纪90年代中期,他们出现在一个数字和技术媒体的进步一直在影响企业行为方式的社会中,尤其是在招聘方面。这是一个新兴的一代,对它的研究和研究刚刚起步。本研究的目的是识别和分析Z世代对选择过程机器人化和人工智能应用的看法。这项研究使用了一项在线问卷调查,调查了Z世代在机器人选拔过程中的表现。与一般媒体披露的内容相矛盾,样本的代表性部分在接受由人工智能作为调解人进行的机器人选择过程中保持沉默;除此之外,人们对从技术上提供个人数据存在一定的不信任,因为有几个平台坚持使用这种技术作为过滤特定职位合适候选人的方法。虽然该研究的受访者数量减少了(108人),而且样本只来自一所大学的一个项目,这是研究的局限性,但对结果的分析表明,公司需要从组织的选择过程开始,重新审视人工智能的使用,以确保更大程度的人性化。此外,数据显示,Z世代可能并不像一般媒体所展示的那样,代表着一群完全同质的人。
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引用次数: 0
DESIGN OF REVERSE THRUST ADSORPTION WALL-CLIMBING ROBOT BASED ON TRIZ AND INPD FUSION 基于triz和inpd融合的逆推力吸附爬壁机器人设计
IF 0.9 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-01-01 DOI: 10.2316/j.2023.206-0874
Minglu Chi, ∗. S. Chang, ∗. R. Ren, Jinyu Wang, Xueyan Sun, Jiawen Jia, Xiaoyan Qian
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引用次数: 0
RESEARCH ON DYNAMIC TRACKING METHOD OF ASSISTED PUNCTURE ROBOT BASED ON POSITION VISION 基于位置视觉的辅助穿刺机器人动态跟踪方法研究
IF 0.9 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-01-01 DOI: 10.2316/j.2023.206-0945
Guanwu Jiang, Keqiang Bai, Shiliang Nie, Ran Wang, Abdelaziz Omar
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引用次数: 0
A DYNAMIC SECOND-ORDER ESTIMATION STRATEGY FOR FAULTY SYSTEMS 故障系统的动态二阶估计策略
IF 0.9 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-01-01 DOI: 10.2316/j.2023.206-0764
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引用次数: 0
CONSENSUS CONTROL OF MULTIPLE CONSENSUS CONTROL OF MULTIPLE AUTONOMOUS UNDERWATER VEHICLES AUTONOMOUS UNDERWATER VEHICLES UNDER DELAYS AIMING FOR DYNAMIC UNDER DELAYS AIMING FOR DYNAMIC TARGET HUNTING TASKS TARGET HUNTING TASKS, 42-49. 多自主水下航行器的共识控制多共识控制自主水下航行器时滞下目标瞄准动态时滞下目标瞄准动态目标搜索任务,目标搜索任务,42-49。
IF 0.9 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-01-01 DOI: 10.2316/j.2023.206-0751
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引用次数: 0
Kinematic Analysis and Design of a Haptic Device for neurosurgery simulation, 60-66 神经外科模拟触觉装置的运动学分析与设计,60-66
IF 0.9 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-01-01 DOI: 10.2316/J.2023.206-0770
Xinwei Yan, P. X. Liu
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引用次数: 0
USING YUMI ROBOT AND RGB-D CAMERA WITH YOLOV5 FOR PICK-AND-PLACE APPLICATION, 1-10. 使用yumi机器人和带有yolov5的rgb-d相机进行拾取应用,1-10。
4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-01-01 DOI: 10.2316/j.2023.206-0927
Dumrongsak Kijdech, Supachai Vongbunyong
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引用次数: 0
INDOOR LOCALIZATION SYSTEM OF ROS MOBILE ROBOT BASED ON VISIBLE LIGHT COMMUNICATION, 1-12. 基于可见光通信的ros移动机器人室内定位系统,1-12。
4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-01-01 DOI: 10.2316/j.2023.206-0321
Shihuan Chen, Wanlin Liang, Shangsheng Wen, Mouxiao Huang, Ruihong Cen, Weipeng Guan
A robot indoor localization system based on Robot OperatingSystem (ROS) and visible light communication (VLC) is presentedin this paper, innovatively realizing the practical application ofVLC indoor positioning with a ROS robot.
本文提出了一种基于机器人操作系统(ROS)和可见光通信(VLC)的机器人室内定位系统,创新地实现了ROS机器人在可见光通信室内定位中的实际应用。
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引用次数: 1
DISTURBANCE OBSERVER-BASED EXTENDED STATE CONVERGENCE ARCHITECTURE FOR MULTILATERAL TELEOPERATION SYSTEMS 基于扰动观测器的多边遥操作系统扩展状态收敛体系结构
IF 0.9 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-01-01 DOI: 10.2316/j.2023.206-0712
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引用次数: 0
VISUAL SERVOING IN VIRTUALISED ENVIRONMENTS BASED ON OPTICAL FLOW LEARNING AND CONSTRAINED OPTIMISATION, 1-10. 基于光流学习和约束优化的虚拟环境视觉伺服,1-10。
IF 0.9 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Pub Date : 2023-01-01 DOI: 10.2316/j.2023.206-0810
Takuya Iwasaki, S. Arnold, Kimitoshi Yamazaki
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引用次数: 0
期刊
International Journal of Robotics & Automation
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