Advanced Robotics最新文献_第10页

A load-adaptive hoisting mechanism based on spring-loaded rope and variable radius reel 一种基于弹簧绳和变半径卷筒的自适应载荷提升机构

IF 2 4区计算机科学

Advanced Robotics Pub Date : 2023-11-27 DOI: 10.1080/01691864.2023.2285802

Zhiguo Lu, Ruchao Wang, Yinhe Xiao, Tao Liu, Chong Liu, Haibin Zhao

引用次数: 0

Distributed online primal-dual subgradient method on unbalanced directed networks 非平衡有向网络的分布式在线原对偶子梯度方法

IF 2 4区计算机科学

Advanced Robotics Pub Date : 2023-11-23 DOI: 10.1080/01691864.2023.2285806

Keishin Tada, Naoki Hayashi, Shigemasa Takai

引用次数: 0

Development of a method for attaching thin films to curved surfaces using a bipolar electrostatic chuck with a collective beam structure 一种利用具有集束结构的双极静电吸盘将薄膜附着在曲面上的方法的发展

IF 2 4区计算机科学

Advanced Robotics Pub Date : 2023-11-23 DOI: 10.1080/01691864.2023.2279603

Yuki Taoka, Terumichi Hayashi, Sanchuan Xu, Shigeki Saito

引用次数: 0

Development of compact revolute electro-hydrostatic actuator module and evaluation of its backdrivability and internal leakage 紧凑型旋转电静液执行器模块的研制及其反驱动性和内漏性评价

4区计算机科学

Advanced Robotics Pub Date : 2023-11-14 DOI: 10.1080/01691864.2023.2279599

Mitsuo Komagata, Takahiro Nakanishi, Ko Yamamoto, Yoshihiko Nakamura

{"title":"Development of compact revolute electro-hydrostatic actuator module and evaluation of its backdrivability and internal leakage","authors":"Mitsuo Komagata, Takahiro Nakanishi, Ko Yamamoto, Yoshihiko Nakamura","doi":"10.1080/01691864.2023.2279599","DOIUrl":"https://doi.org/10.1080/01691864.2023.2279599","url":null,"abstract":"AbstractActuators of a robot that physically interacts with objects or human require backdrivability to obtain force controllability, impact resistance and compactness. An electro-hydrostatic actuator (EHA) is a servo pump type hydraulic system that has a potential to satisfy backdrivability. However, the previous mechanical design of a revolute EHA did not achieve compact design compared to the other actuators. The hydraulic pump and vane motor were separately located, which made the size of EHA system larger. To solve this problem, we propose a design methodology of a revolute EHA using a frameless motor. Commercially available frameless motor is suitable for actuating the hydraulic pump. Moreover, the pump can be built in the hollow space of the frameless motor, and this design makes the EHA downsized. We present a prototype design based on the formulation of the output power. Through the experimental validations, we show that developed EHA has higher backdrivability than the comparable harmonic drive, and obtain the knowledges on design factors that are crucial to the EHA with high power-to-weight ratio.Keywords: Electro-hydrostatic actuatorsbackdrivabilityinternal leakagemodularized design Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 http://store-en.tmotor.com/goods.php?id=8592 https://www.maxongroup.co.jp/maxon/view/content/ec-4pole-motors3 https://www.hds.co.jp/english/Additional informationFundingThis work was supported by the joint research of the University of Tokyo and Nachi-Fujikoshi CORP. titled ‘Research and development on the mechanism, control, and application of modular electro-hydrostatic actuators with high power-to-weight ratio’.Notes on contributorsMitsuo KomagataMitsuo Komagata received his BEng, MEng, and PhD degrees in Mechano-Informatics from the University of Tokyo in 2014, 2016, and 2020, respectively. He was Project Researcher at the University of Tokyo in 2020 and Project Assistant Professor at the Department of Mechano-informatics, University of Tokyo in 2020–2023. Since 2023, he works in OMRON Corporation. His research interests include actuations and mechanical design. He is a member of RSJ.Takahiro NakanishiTakahiro Nakanishi received his master degree in Mechano-Informatics from the University of Tokyo in 2021. His research interests include mechanical design of hydraulic actuators.Ko YamamotoKo Yamamoto received the PhD degree in mechano-informatics from the University of Tokyo, Tokyo, Japan, in 2009. He is an Associate Professor with the Department of Mechano-informatics, University of Tokyo. He was a Postdoctoral Research Fellow with the Tokyo Institute of Technology in2009–2012, and an Assistant Professor with Nagoya Universityin 2012–2014. He joined the University of Tokyo as an Assistant Professor in 2014, and was a Project Lecturer with the Department of Mechanical Engineering in 2016–2017. He was also a Visiting Assistant Professor with Stanford University, St","PeriodicalId":7261,"journal":{"name":"Advanced Robotics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134991339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Social navigation framework for autonomous vehicle with hierarchical cyber-physical system architecture 具有层次网络物理系统架构的自动驾驶车辆社会导航框架

4区计算机科学

Advanced Robotics Pub Date : 2023-11-14 DOI: 10.1080/01691864.2023.2279601

Yuto Imanishi, Hiroyuki Yamada

{"title":"Social navigation framework for autonomous vehicle with hierarchical cyber-physical system architecture","authors":"Yuto Imanishi, Hiroyuki Yamada","doi":"10.1080/01691864.2023.2279601","DOIUrl":"https://doi.org/10.1080/01691864.2023.2279601","url":null,"abstract":"AbstractAn autonomous vehicle operating alongside humans should ideally have a high social capability, such as being able to communicate with humans, negotiate space, predict reactions, etc. This can be achieved by a prediction feature trained with diverse data on human behavior. Hierarchical cyber-physical system (CPS) architecture design, which sends the prediction feature to an external server while observing a limited operational design domain (ODD) and acquiring data continuously, has great potential to refine the training process as well as improve the performance. However, this architecture design requires the planning and prediction modules to be explicitly decoupled, which takes away from the recent success on social navigation. In this paper, we propose a novel autonomous navigation framework enabling social behavior while decoupling the planning and prediction modules to take advantage of the hierarchical CPS architecture. In the proposed framework, pedestrian trajectories are predicted as reactions to pre-generated candidates for an ego vehicle trajectory, and the ego vehicle trajectory is then selected to maximize mutual benefit to both the ego vehicle and surrounding pedestrians. We evaluated the proposed framework with simulations using the social force model and found that it was able to achieve the social behavior.KEYWORDS: Social navigationtrajectory planningcyber-physical systemarchitecture designsocial force model Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsYuto ImanishiYuto Imanishi received his MS degree from the Graduate School of Science and Engineering, Tokyo Institute of Technology, Japan, in 2009. He is currently a senior researcher of Research & Development Group, Hitachi Ltd., Japan. His research interests mainly include autonomous control, cyber-physical systems, and architecture design. He is a member of the SICE and JSAE.Hiroyuki YamadaHiroyuki Yamada received his MS degree and his Ph.D degree from Graduate School of Information Science and Electrical Engineering, Kyushu University, Japan, in 2008 and 2021, respectively. He is currently a senior researcher of Research & Development Group, Hitachi Ltd., Japan. His research interests mainly include robotics, computer vision and machine learning. He is a member of the RSJ and JSME.","PeriodicalId":7261,"journal":{"name":"Advanced Robotics","volume":"1 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134991337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stochastic approach for modeling soft fingers with creep behavior 具有蠕变行为的软手指随机建模方法

4区计算机科学

Advanced Robotics Pub Date : 2023-11-13 DOI: 10.1080/01691864.2023.2279600

Sumitaka Honji, Hikaru Arita, Kenji Tahara

{"title":"Stochastic approach for modeling soft fingers with creep behavior","authors":"Sumitaka Honji, Hikaru Arita, Kenji Tahara","doi":"10.1080/01691864.2023.2279600","DOIUrl":"https://doi.org/10.1080/01691864.2023.2279600","url":null,"abstract":"AbstractSoft robots have high adaptability and safety due to their softness and are therefore widely used in human society. However, the controllability of soft robots to perform dexterous behaviors is insufficient when considering soft robots as alternative laborers for humans. Model-based control methods are effective for achieving dexterous behaviors. To build a suitable control model, problems based on specific properties, such as creep behavior and variable motions, must be addressed. In this paper, a lumped parameterized model for soft fingers with viscoelastic joints is established to address creep behavior. The parameters are expressed as distributions, which allows the model to account for motion variability. Furthermore, stochastic analyzes are performed based on the parameter distributions. The model results are consistent with the experimental results, and the model enables the investigation of the effects of various parameters related to robot variability.Keywords: Lumped parameterized modeldistributed viscoelastic parameterrandom variable transformationsensitivity analysis AcknowledgmentsWe greatly appreciate the funding sources. Additionally, we would like to thank the members of the HCR lab for their useful discussions.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the Grant-in-Aid for Scientific Research (A) No. 20H00610 of the Japan Society for the Promotion of Science (JSPS).Notes on contributorsSumitaka HonjiSumitaka Honji received the B.S. and M.S. degrees from the Department of Mechanical Engineering in the School of Engineering, Kyushu University, Japan, in 2019 and 2021, respectively. He is now a doctoral student at Kyushu University. His interests include the modeling and control of soft robotic systems.Hikaru AritaHikaru Arita received his B.S., M.S., and Ph.D. in engineering from the University of Electro-Communications, Japan, in 2012, 2014, and 2019. He served several institutions, including OMRON Corporation, Kyoto, Japan, where he worked from 2014 to 2016, and Ritsumeikan University, where he was an Assistant Professor from 2019 to 2022. He is currently an Assistant Professor at the Department of Mechanical Engineering, Faculty of Engineering, Kyushu University, Japan. His current research interests include proximity sensors, sensor-based control, musculoskeletal robots, robot hands, manipulation, and soft robots.Kenji TaharaKenji Tahara received a B.S. degree in Mech. Eng. in 1998, an M.S. degree in Info. Sci. and Syst. in 2000, and a Ph.D. degree in Robotics in 2003, all from Ritsumeikan University, Japan. From 2003 to 2007, he joined the Bio-mimetic Control Research Center of RIKEN as a Research Scientist. In 2007, he joined Kyushu University as a tenure-track Associate Professor, and in 2011, he was an Associate Professor at the Department of Mechanical Engineering, Faculty of Engineering, Kyushu University, Japan. Since","PeriodicalId":7261,"journal":{"name":"Advanced Robotics","volume":"30 14","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136281679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of the relationship between user response to dialog breakdown and personality traits 分析用户对对话分解的反应与个性特征之间的关系

4区计算机科学

Advanced Robotics Pub Date : 2023-11-13 DOI: 10.1080/01691864.2023.2279610

Kazuya Tsubokura, Yurie Iribe, Norihide Kitaoka

{"title":"Analysis of the relationship between user response to dialog breakdown and personality traits","authors":"Kazuya Tsubokura, Yurie Iribe, Norihide Kitaoka","doi":"10.1080/01691864.2023.2279610","DOIUrl":"https://doi.org/10.1080/01691864.2023.2279610","url":null,"abstract":"AbstractAlthough automated dialog systems are now being used in various applications, it is difficult to say whether they will ever be able to acquire the ability to converse as naturally as people do. As a result, various methods for detecting dialog breakdowns have been proposed. However, the effect of the user's personality on breakdown detection accuracy and user response to these breakdowns have not been sufficiently examined. Therefore, in this study we analyze the relationship between user personality traits and individual differences in responses to dialog breakdowns by conducting dialog experiments.Keywords: Dialog systemdialog breakdownpersonality traits AcknowledgmentThis work was supported by JSPS KAKENHI Grant Numbers JP22K19793, JP23H00493.Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 https://taku910.github.io/mecab/.2 When we first calculated the correlations between the part of speech features and the overall personality trait scores, no strong correlations were observed, so we then used the personality trait scores of the upper and lower groups for each personality trait when performing the U-tests, in order to reveal possible relationships.Additional informationNotes on contributorsKazuya TsubokuraKazuya Tsubokura recieved his B.S. and M.S. degrees in Information Science and Technology from Aichi Prefectural University in 2021 and 2023, respectively. He is currently a Ph.D. student in Aichi Prefectural University. His research interests include spoken dialogue systems.Yurie IribeYurie Iribe received the B.E. degree in Systems Engineering from Nagoya Institute of Technology and M.S. degree in Human Informatics from Nagoya University in 1999 and 2001. She became a research associate in the Information and Media Center at Toyohashi University of Technology in 2004. She received her Ph.D. degree from Nagoya University in 2007. She is currently an Associate Professor in Aichi Prefectural University from 2017. Her research interests include speech processing and human interface.Norihide KitaokaNorihide Kitaoka received his B.S. and M.S. degrees from Kyoto University, Japan. In 1994, he joined DENSO CORPORATION. In 2000, he received his Ph.D. degree from Toyohashi University of Technology (TUT), Japan. He joined TUT as a research associate in 2001 and was a lecturer from 2003 to 2006. He was an associate professor at Nagoya University, Japan, from 2006 to 2014 and joined Tokushima University, Japan, as a professor in 2014. He has been a professor at TUT since 2018. His research interests include speech processing, speech recognition, and spoken dialog systems. He is a member of IEEE, International Speech Communication Association (ISCA), Asia Pacific Signal and Information Processing Association (APSIPA), The Institute of Electronics, Information and Communication Engineers (IEICE), Information Processing Society of Japan (IPSJ), Acoustical Society of Japan (ASJ), The Japanese Society for Ar","PeriodicalId":7261,"journal":{"name":"Advanced Robotics","volume":"30 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136281683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detecting cultural identity via robotic sensor data to understand differences during human-robot interaction 通过机器人传感器数据检测文化认同，了解人机交互过程中的差异

4区计算机科学

Advanced Robotics Pub Date : 2023-11-13 DOI: 10.1080/01691864.2023.2277159

Jinjae Lee, Casey C. Bennett, Cedomir Stanojevic, Seongcheol Kim, Zachary Henkel, Kenna Baugus, Jennifer A. Piatt, Cindy Bethel, Selma Sabanovic

{"title":"Detecting cultural identity via robotic sensor data to understand differences during human-robot interaction","authors":"Jinjae Lee, Casey C. Bennett, Cedomir Stanojevic, Seongcheol Kim, Zachary Henkel, Kenna Baugus, Jennifer A. Piatt, Cindy Bethel, Selma Sabanovic","doi":"10.1080/01691864.2023.2277159","DOIUrl":"https://doi.org/10.1080/01691864.2023.2277159","url":null,"abstract":"AbstractSocially-assistive robots (SARs) have significant potential to help manage chronic diseases (e.g. dementia, depression, diabetes) in spaces where people live, averse to clinic-based care. However, the challenge is designing SARs so that they perform appropriate interactions with people who have different characteristics, such as age, gender, and cultural identity. Those characteristics impact how human behaviors are performed as well as user expectations of robot responses. Although cross-cultural studies with robots have been conducted to understand differing population characteristics, they have mainly focused on statistical comparisons of groups. In this study, we utilize deep learning (DL) and machine learning (ML) models to evaluate whether cultural differences show up in robotic sensor data during human-robot interaction (HRI). To do so, a SAR was distributed to user's homes for three weeks in the US and Korea (25 participants), while collecting data on the human activity and the surrounding environment through on-board sensor devices. DL models based on that data were able to predict the user’s cultural identity with roughly 95% accuracy. Such findings have potential implications for the design and development of culturally-adaptive SARs to provide services across diverse cultural locales and multi-cultural environments where users’ cultural background cannot be assumed a priori.KEYWORDS: Human-robot interactiondeep learningcross-cultural roboticsadaptive robot designhuman activity recognition Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by separate funding mechanisms in South Korea and the United States: KOR – Hanyang University Research Fund [grant number HY-2020]; USA – National Science Foundation [grant number IIS-1900683].Notes on contributorsJinjae LeeJinjae Lee is currently a Master’s student in Data Science at the Department of Intelligence Computing at Hanyang University. He is interested in the application of machine learning and human-robot interaction to healthcare problems.Casey C. BennettDr. Casey C. Bennett is an Associate Professor in the Department of Intelligence Computing at Hanyang University in Seoul, Korea. He specializes in artificial intelligence and robotics in healthcare, including the use of data science and machine learning to create better human-robot interaction. He completed his Ph.D. at Indiana University in the US.Cedomir StanojevicDr. Cedomir Stanojevic is an Assistant Professor in the Department of Parks, Recreation & Tourism Management at Clemson University’s College of Behavioral, Social and Health Sciences, SC, U.S.A. He specializes in recreational therapy and interventions related to leisure and improved quality of life, focusing on socially assistive robotics and ecological momentary assessment to improve various populations’ health outcomes. He completed his Ph.D. at Indiana University in the US.Seong","PeriodicalId":7261,"journal":{"name":"Advanced Robotics","volume":"30 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136281680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Special Issue on Multimodal processing and robotics for dialogue systems (Part 1) 对话系统的多模态处理和机器人技术特刊(第一部分)

4区计算机科学

Advanced Robotics Pub Date : 2023-11-02 DOI: 10.1080/01691864.2023.2276549

David Traum, Gabriel Skantze, Hiromitsu Nishizaki, Ryuichiro Higashinaka, Takashi Minato, Takayuki Nagai

引用次数: 0

Trajectory tracking of robot manipulator with adaptive fuzzy second-order super-twisting sliding mode control 基于自适应模糊二阶超扭滑模控制的机械臂轨迹跟踪

4区计算机科学

Advanced Robotics Pub Date : 2023-10-26 DOI: 10.1080/01691864.2023.2270792

Dachang Zhu, Puchen Zhu, Yonglong He

{"title":"Trajectory tracking of robot manipulator with adaptive fuzzy second-order super-twisting sliding mode control","authors":"Dachang Zhu, Puchen Zhu, Yonglong He","doi":"10.1080/01691864.2023.2270792","DOIUrl":"https://doi.org/10.1080/01691864.2023.2270792","url":null,"abstract":"AbstractTo solve the influence of uncertainties such as unmodeled errors and external disturbances on the trajectory tracking accuracy of the end-effector of a robot manipulator, a novel fuzzy super-twisting second-order sliding mode control method is proposed in this paper. Based on the dynamic model of the robot manipulator, a second-order sliding mode control algorithm is proposed by using the super-twisting to determine the non-singular terminal sliding manifold. An adaptive fuzzy algorithm is presented to compensate for the super-twisting second-order sliding mode control system for handling the chattering and overestimating the controller gains. The stability of the proposed controller is verified by the Lyapunov stability theory. Simulation and experimental results show that the proposed control method can enable the robot to track the trajectory accurately under complex and uncertain conditions and effectively suppress the chattering phenomenon of the system.Keywords: Robot manipulatortrajectory trackingadaptive fuzzy super-twisting algorithmsecond-order sliding mode control Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe author would like to express his gratitude for the support of the University Scientific Research Project of Education Bureau of Guangzhou Municipality under Grant 202032821 and the Guangzhou City School Joint Project under Grant SL2023A03J00681.Notes on contributorsDachang ZhuDachang Zhu received the B.S. degree in mechanics design and the M.S. degree in theoretical mechanics from the Jiangxi University of Technology and Science, Ganzhou, China, in 1996 and 1999, respectively, the Ph.D. degree in mechanical engineering from Beijing Jiaotong University, Beijing, China, in 2008, and the Postdoctor in mechanical engineering from the South China University of Technology, Guangzhou, China, in 2012. He currently works as full professor with the School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, China. His research interests include topology optimization theory and applications in compliant mechanisms, robotics, and feedback control of the dynamic systems.Puchen ZhuPuchen Zhu received his Bachelor's degree in Engineering from Guangdong University of Technology, Guangzhou, China. he is currently a Master of Philosophy student at the Mechanical and Automation Engineering department at the Chinese University of HongKong (CUHK). his research interests include Robotics, Medical Robotics, and Robotic Modeling and Control.Yonglong HeYonglong He is a student pursuing a master's degress in Mechanical Engineering from the School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, China. his research interests include Robotics, Compliant mechanism.","PeriodicalId":7261,"journal":{"name":"Advanced Robotics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136376456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0