2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)最新文献

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The structures and the energy management strategies in FCHVs fchv的结构与能源管理策略
2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2016-07-08 DOI: 10.1109/ARSO.2016.7736281
XiaoPeng Lu, W. Jiang
{"title":"The structures and the energy management strategies in FCHVs","authors":"XiaoPeng Lu, W. Jiang","doi":"10.1109/ARSO.2016.7736281","DOIUrl":"https://doi.org/10.1109/ARSO.2016.7736281","url":null,"abstract":"Fuel cell has become one of the best sources of power source for sustainable transportation because of its low temperature chamber gas emission and high power density. Fuel cell hybrid vehicle use fuel cell and battery/super capacitor drive system. Energy management strategy is the most important issues in the efficiency and performance of hybrid vehicle systems. This paper summarizes the system structure, energy and energy management strategy of the fuel cell hybrid electric vehicle. The rapid growth of electric vehicles makes the intelligent power grid control play an important role in the management of demand. Aware of environmental issues and fuel crisis, has brought the world's fuel cell hybrid car sales.","PeriodicalId":403924,"journal":{"name":"2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124749009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Ethical issues for social robots and the trust-based approach 社交机器人的伦理问题和基于信任的方法
2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2016-07-08 DOI: 10.1109/ARSO.2016.7736246
Tora Koyama
{"title":"Ethical issues for social robots and the trust-based approach","authors":"Tora Koyama","doi":"10.1109/ARSO.2016.7736246","DOIUrl":"https://doi.org/10.1109/ARSO.2016.7736246","url":null,"abstract":"Recent robotics research is shifting its focus from industrial robots to social robots. One of the most difficult issues facing social robots is ethics. In this paper, I discuss how ethical issues on robots should be addressed from a philosophical point of view. After a brief survey of the previous research, I raise some issues that I found with the studies. Finally, I propose a novel approach that I call the Trust-based approach.","PeriodicalId":403924,"journal":{"name":"2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123594529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
High temperature full-field strain measurement based on digital image correlation during arc welding 基于数字图像相关的弧焊高温全场应变测量
2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2016-07-08 DOI: 10.1109/ARSO.2016.7736282
X. Zhou, H. B. Chen, J. Chen, S. B. Chen, Zhili Feng
{"title":"High temperature full-field strain measurement based on digital image correlation during arc welding","authors":"X. Zhou, H. B. Chen, J. Chen, S. B. Chen, Zhili Feng","doi":"10.1109/ARSO.2016.7736282","DOIUrl":"https://doi.org/10.1109/ARSO.2016.7736282","url":null,"abstract":"Experiments for measuring high temperature full-field strain were conducted during GTAW welding process using digital image correlation (DIC) technology. A special visual sensor system was equipped with image acquisition module. In order to reduce the influence of intense arc interference, a special laser-based illumination and filtering system was utilized. The in situ total strain close to the fusion line was measured during arc welding process. According to the total strain measured by DIC method and thermal strain calculated by the coefficient of thermal expansion, the mechanical strain was obtained, illustrating the sum of elastic and plastic strain distribution and deformation in the heated affected zone of the joint. Results showed that there remained compressive strain in both horizontal and vertical direction near the welding joint after welding. It demonstrated that full-field strain measurement could be achieved by DIC method during in situ arc welding.","PeriodicalId":403924,"journal":{"name":"2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132648410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A novel design of robotic air bridge training system 一种新型的机器人空桥训练系统设计
2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2016-07-08 DOI: 10.1109/ARSO.2016.7736258
Jie Chen, Yuan Fang, H. Lau
{"title":"A novel design of robotic air bridge training system","authors":"Jie Chen, Yuan Fang, H. Lau","doi":"10.1109/ARSO.2016.7736258","DOIUrl":"https://doi.org/10.1109/ARSO.2016.7736258","url":null,"abstract":"With the rapid development of virtual realities, it becomes possible nowadays for industrial practitioners to incorporate these technologies into their own applications. In air cargo industries, operating the air bridge system is of high importance, but due to the limited resources and potential damages to the aircrafts, training every operator in real world systems is difficult. To solve this problem, an air bridge simulator embedded into virtual reality systems will be a very good alternative. In this paper, a four degrees-of-freedom (DOF) robotic motion platform is designed to simulate the movement of an air bridge. The platform is driven by four pairs of motors and ball screws, and we also design a damping system for the proposed platform to avoid sudden shock. The proposed design of the structure has several advantages. Firstly, the structure itself is very simple. Secondly, due to its redundant DOF, many challenging requirements can be easily satisfied, such as singularity avoidance and energy minimization. Thirdly, as the load of the system is shared by many universal ball bull eye bearings, the required driving force of the platform is reduced drastically due to the low friction coefficient, which increases the agility of the system a lot. The inverse kinematic model (IK) of the proposed robotic air bridge simulator is also derived, and the derived IK is then used to drive the platform to perform a trajectory tracking task in simulation environment.","PeriodicalId":403924,"journal":{"name":"2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127343781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Design of a flexible polishing force control flange 柔性抛光力控制法兰的设计
2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2016-07-08 DOI: 10.1109/ARSO.2016.7736262
Ting Huang, Chuang Li, Zhenhua Wang, Lining Sun, Guodong Chen
{"title":"Design of a flexible polishing force control flange","authors":"Ting Huang, Chuang Li, Zhenhua Wang, Lining Sun, Guodong Chen","doi":"10.1109/ARSO.2016.7736262","DOIUrl":"https://doi.org/10.1109/ARSO.2016.7736262","url":null,"abstract":"In order to resolve issues such as excessive rigidity in polishing process with industrial robot, this paper proposed a solving method by installing a force feedback device at the robot end, designed an integrated pneumatic drive, servo control, mechanical drive force control flange device, built its control system platform, and proved in experiments that the dynamic performance of this device meets the requirements of the grinding and polishing system with industrial robot.","PeriodicalId":403924,"journal":{"name":"2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127871235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Learning adaptive reaching skills with nonlinear dynamical systems directly from human demonstrations 直接从人类演示中学习非线性动力系统的自适应到达技巧
2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2016-07-08 DOI: 10.1109/ARSO.2016.7736287
Jie Chen, H. Lau
{"title":"Learning adaptive reaching skills with nonlinear dynamical systems directly from human demonstrations","authors":"Jie Chen, H. Lau","doi":"10.1109/ARSO.2016.7736287","DOIUrl":"https://doi.org/10.1109/ARSO.2016.7736287","url":null,"abstract":"In this work, we first discuss details about a novel motion planning approach for robot point to point reaching tasks called stable estimator of dynamical systems (SEDS). A human operator first demonstrates reaching movements several times, and Gaussian Mixture Model and Gaussian Mixture Regression are used to roughly encode human demonstrations through a first order ordinary differential equation. Then based on Lyapunov Stability Theorem, a constrained nonlinear optimization problem is formulated to iteratively refine the previously learned differential model and SEDS is derived. Since during human demonstrations, the velocity is usually quite low which heavily restricts the kinetic capability of the robot, and sometimes we expect the robot to move more fast, such as to catch flying objects and to avoid fast moving obstacles. Therefore, it is extremely significant to develop a method to control the velocity and duration of the robot movement. In this paper, we define a nonlinear function based on the distance between the robot and the target to adjust the velocity of the robot. Experiments have been conducted in simulation environments to verify three properties of the proposed method, namely global asymptotical stability, adaptation to spatial perturbations and velocity controllability.","PeriodicalId":403924,"journal":{"name":"2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121720579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Socializing with robots: Human-robot interactions within a virtual environment 与机器人的社交:在虚拟环境中的人机交互
2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2016-07-08 DOI: 10.1109/ARSO.2016.7736255
A. Richert, M. Shehadeh, S. Müller, Stefan Schröder, S. Jeschke
{"title":"Socializing with robots: Human-robot interactions within a virtual environment","authors":"A. Richert, M. Shehadeh, S. Müller, Stefan Schröder, S. Jeschke","doi":"10.1109/ARSO.2016.7736255","DOIUrl":"https://doi.org/10.1109/ARSO.2016.7736255","url":null,"abstract":"Robots are already physically supporting humans within multiple processes, but as a step further, the robots will be able to identify and adapt to any individual strengths and become the flawless co-workers needed. One of the questions is whether in other fields of social robotics, e.g. in ergonomics, existing knowledge about human teams can be transferred into the design of hybrid teams and the shaping of human-computer interactions. These developments serve the appearance of Industry 4.0, which is directly correlated to the modernization of productions that are directly involved in defining the concept of hybrid human-robot-teams. This is a concept paper that describes the investigation whether the appearance of the robot and its accuracy while fulfilling the task influence the stress level of the human, his cooperation behavior and trust towards the robot, and as an overall result the performance of the cooperative work in a complete virtual environment. The participants will be given a task to accomplish with the aid of their virtual robot partner and rely on their features and abilities, they have to act as efficiently as possible, which gives room to investigate the teamwork over various team development stages, stress, trust, and performance. The study will take place in August 2016, where the results will be published shortly afterwards.","PeriodicalId":403924,"journal":{"name":"2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115227625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Responsibility in the age of autonomous machines 自主机器时代的责任
2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2016-07-08 DOI: 10.1109/ARSO.2016.7736249
Minao Kukita
{"title":"Responsibility in the age of autonomous machines","authors":"Minao Kukita","doi":"10.1109/ARSO.2016.7736249","DOIUrl":"https://doi.org/10.1109/ARSO.2016.7736249","url":null,"abstract":"'Responsibility' is a concept of central importance in ethics. In ethics, responsibility has traditionally been applied only to a human or a group of humans. However, the recent development of ICT has revealed a limitation of this old conception of responsibility. In this paper, we will see what conditions are traditionally required for responsibility attribution, and how these conditions are faced with difficulties by technologies today, especially those which produce autonomous agents like AIs or robots. Then we will consider how the concept of responsibility has to change in a society where autonomous machines and humans coexist.","PeriodicalId":403924,"journal":{"name":"2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114826194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multisensory data fusion technique and its application to welding process monitoring 多传感器数据融合技术及其在焊接过程监测中的应用
2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2016-07-08 DOI: 10.1109/ARSO.2016.7736298
Zhifen Zhang, G. Wen, Shanben Chen
{"title":"Multisensory data fusion technique and its application to welding process monitoring","authors":"Zhifen Zhang, G. Wen, Shanben Chen","doi":"10.1109/ARSO.2016.7736298","DOIUrl":"https://doi.org/10.1109/ARSO.2016.7736298","url":null,"abstract":"Multiple sensors of various source have been increasingly applied into different civilian situations as well as robotic welding process monitoring. How to take full advantage of these information, more importantly, scientifically fusion multisensory data for the specific application system may be of great challenge. In this paper, different sensing technique used for real-time welding quality monitoring were briefly reviewed and discussed in terms of their ability for implementation of data fusion system. Then, a feature-level data fusion application case of aluminum GTAW condition monitoring will be given with thoroughly discussion. This paper will provide some guidance for implementation of fusion system for process monitoring and defect detection.","PeriodicalId":403924,"journal":{"name":"2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123099647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
A novel catheter operating robot for vascular interventional surgery 一种新型血管介入手术导管操作机器人
2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO) Pub Date : 2016-07-08 DOI: 10.1109/ARSO.2016.7736300
Cai Meng, Shaoya Guan, Shengnan Sun, Yin Liu, Tianmiao Wang
{"title":"A novel catheter operating robot for vascular interventional surgery","authors":"Cai Meng, Shaoya Guan, Shengnan Sun, Yin Liu, Tianmiao Wang","doi":"10.1109/ARSO.2016.7736300","DOIUrl":"https://doi.org/10.1109/ARSO.2016.7736300","url":null,"abstract":"VIS (Vascular Interventional Surgery) is widely used for Cardiovascular and Cerebrovascular disease. Considering conventional VIS has some problems, such as long irradiation time and surgical complexity, a robotic surgical system has been developed to assist surgeon during operation. In this paper, a novel COR (catheter operating robot) is developed to operate catheter, i.e., apply conventional push, pull, and twist of a catheter's shaft. Considering the limitation on the COR volume in clinical operation environment, the design concept of “part reuse” is proposed to realize the miniaturization of the mechanical structure. In order to reduce the number of machine parts, an intermittent gear is used both to realize the clamping/loosening movement and to perform as a slideway to fulfill the twist movement of two bionic fingers. A clamping/loosening module is devised out of the same purpose, so as to dismantle the catheter easily and ensure the catheter operating system can be removed from the catheter rapidly when the robot is out of service unexpectedly. Performance evaluation of the system was assessed by first conducting positioning accuracy experiment to quantify accuracy and precision of both axial (push and pull) and radial (twist) motion of catheter in control of the COR, and then conducting transparent glass vascular model experiment to assess the usefulness of the COR in robot-assisted VIS. Experimental results show that the COR has multiple advantages such as flexible control, and high positioning precision, which facilitate the control of catheter.","PeriodicalId":403924,"journal":{"name":"2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123241747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
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