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IEEE Transactions on Cognitive and Developmental Systems最新文献

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IEEE Computational Intelligence Society Information IEEE计算智能学会信息
IF 5 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2024-12-03 DOI: 10.1109/TCDS.2024.3482593
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引用次数: 0
IEEE Transactions on Cognitive and Developmental Systems Publication Information IEEE认知与发展系统汇刊
IF 5 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2024-12-03 DOI: 10.1109/TCDS.2024.3482591
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引用次数: 0
Guest Editorial: Special Issue on Advancing Machine Intelligence With Neuromorphic Computing 特邀编辑：利用神经形态计算推进机器智能》特刊
IF 5 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2024-10-14 DOI: 10.1109/TCDS.2024.3458488
Guoqi Li;Emre Neftci;Rong Xiao;Pablo Lanillos;Kaushik Roy
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引用次数: 0
IEEE Computational Intelligence Society Information 电气和电子工程师学会计算智能学会信息
IF 5 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2024-10-14 DOI: 10.1109/TCDS.2024.3459314
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引用次数: 0
IEEE Transactions on Cognitive and Developmental Systems Information for Authors 电气和电子工程师学会《认知与发展系统》期刊 为作者提供的信息
IF 5 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2024-10-14 DOI: 10.1109/TCDS.2024.3459316
{"title":"IEEE Transactions on Cognitive and Developmental Systems Information for Authors","authors":"","doi":"10.1109/TCDS.2024.3459316","DOIUrl":"https://doi.org/10.1109/TCDS.2024.3459316","url":null,"abstract":"","PeriodicalId":54300,"journal":{"name":"IEEE Transactions on Cognitive and Developmental Systems","volume":"16 5","pages":"C4-C4"},"PeriodicalIF":5.0,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10716575","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142434560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IEEE Transactions on Cognitive and Developmental Systems Publication Information 电气和电子工程师学会认知与发展系统论文集》出版信息
IF 5 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2024-10-14 DOI: 10.1109/TCDS.2024.3459312
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引用次数: 0
Graph-Laplacian-Processing-Based Multimodal Localization Backend for Robots and Autonomous Systems
IF 5 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2024-09-26 DOI: 10.1109/TCDS.2024.3468712
Nikos Piperigkos;Christos Anagnostopoulos;Aris S. Lalos;Petros Kapsalas;Duong Van Nguyen
{"title":"Graph-Laplacian-Processing-Based Multimodal Localization Backend for Robots and Autonomous Systems","authors":"Nikos Piperigkos;Christos Anagnostopoulos;Aris S. Lalos;Petros Kapsalas;Duong Van Nguyen","doi":"10.1109/TCDS.2024.3468712","DOIUrl":"https://doi.org/10.1109/TCDS.2024.3468712","url":null,"abstract":"Simultaneous localization and mapping (SLAM) for positioning of robots and autonomous systems (RASs) and mapping of their surrounding environments is a task of major significance in various applications. However, the main disadvantage of traditional SLAM is that the deployed backend modules suffer from accumulative error caused by sharp viewpoint changes, diverse weather conditions, etc. As such, to improve the localization accuracy of the moving agents, we propose a cost-effective and loosely coupled relocalization backend, deployed on top of original SLAM algorithms, which exploits the topologies of poses and landmarks generated either by camera, LiDAR, or mechanical sensors, to couple and fuse them. This novel fusion scheme enhances the decision-making ability and adaptability of autonomous systems, akin to human cognition, by elaborating graph Laplacian processing concept with Kalman filters. Initially designed for cooperative localization of active road users, this approach optimally combines multisensor information through graph signal processing and Bayesian estimation for self-positioning. Conducted experiments were focused on evaluating how our approach can improve the positioning of autonomous ground vehicles, as prominent examples of RASs equipped with sensing capabilities, in challenging outdoor environments. More specifically, experiments were carried out using the CARLA simulator to generate different types of driving trajectories and environmental conditions, as well as real automotive data captured by an operating vehicle in Langen, Germany. Evaluation study demonstrates that localization accuracy is greatly improved both in terms of overall trajectory error as well as loop closing accuracy for each sensor fusion configuration.","PeriodicalId":54300,"journal":{"name":"IEEE Transactions on Cognitive and Developmental Systems","volume":"17 2","pages":"436-453"},"PeriodicalIF":5.0,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143761405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Touch Gesture Recognition-Based Physical Human–Robot Interaction for Collaborative Tasks
IF 5 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2024-09-24 DOI: 10.1109/TCDS.2024.3466553
Dawoon Jung;Chengyan Gu;Junmin Park;Joono Cheong
{"title":"Touch Gesture Recognition-Based Physical Human–Robot Interaction for Collaborative Tasks","authors":"Dawoon Jung;Chengyan Gu;Junmin Park;Joono Cheong","doi":"10.1109/TCDS.2024.3466553","DOIUrl":"https://doi.org/10.1109/TCDS.2024.3466553","url":null,"abstract":"Human–robot collaboration (HRC) has recently attracted increasing attention as a vital component of next-generation automated manufacturing and assembly tasks, yet physical human–robot interaction (pHRI)—which is an inevitable component of collaboration—is often limited to rudimentary touches. This article therefore proposes a deep-learning-based pHRI method that utilizes predefined types of human touch gestures as intuitive communicative signs for collaborative tasks. To this end, a touch gesture network model is first designed upon the framework of the gated recurrent unit (GRU) network, which accepts a set of ground-truth dynamic responses (energy change, generalized momentum, and external joint torque) of robot manipulators under the action of known types of touch gestures and learns to predict the five representative touch gesture types and the corresponding link toward a random touch gesture input. After training the GRU-based touch gesture model using a collected dataset of dynamic responses of a robot manipulator, a total of 35 outputs (five gesture types with seven links each) is recognized with 96.94% accuracy. The experimental results of recognition accuracy correlated with the touch gesture types, and their strength results are shown to validate the performance and disclose the characteristics of the proposed touch gesture model. An example of an IKEA chair assembly task is also presented to demonstrate a collaborative task using the proposed touch gestures. By developing the proposed pHRI method and demonstrating its applicability, we expect that this method can help position physical interaction as one of the key modalities for communication in real-world HRC applications.","PeriodicalId":54300,"journal":{"name":"IEEE Transactions on Cognitive and Developmental Systems","volume":"17 2","pages":"421-435"},"PeriodicalIF":5.0,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143761496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Embodied Perception Interaction, and Cognition for Wearable Robotics: A Survey 可穿戴机器人的嵌入式感知、交互和认知：调查
IF 5 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2024-09-18 DOI: 10.1109/tcds.2024.3463194
Xiaoyu Wu, Jiale Liang, Yiang Yu, Guoxin Li, Gary G. Yen, Haoyong Yu
{"title":"Embodied Perception Interaction, and Cognition for Wearable Robotics: A Survey","authors":"Xiaoyu Wu, Jiale Liang, Yiang Yu, Guoxin Li, Gary G. Yen, Haoyong Yu","doi":"10.1109/tcds.2024.3463194","DOIUrl":"https://doi.org/10.1109/tcds.2024.3463194","url":null,"abstract":"","PeriodicalId":54300,"journal":{"name":"IEEE Transactions on Cognitive and Developmental Systems","volume":"48 1","pages":""},"PeriodicalIF":5.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142269922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
CS-SLAM: A lightweight semantic SLAM method for dynamic scenarios CS-SLAM：适用于动态场景的轻量级语义 SLAM 方法
IF 5 3区 计算机科学
IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2024-09-17 DOI: 10.1109/tcds.2024.3462651
Zhendong Guo, Na Dong, Zehui Zhang, Xiaoming Mai, Donghui Li
{"title":"CS-SLAM: A lightweight semantic SLAM method for dynamic scenarios","authors":"Zhendong Guo, Na Dong, Zehui Zhang, Xiaoming Mai, Donghui Li","doi":"10.1109/tcds.2024.3462651","DOIUrl":"https://doi.org/10.1109/tcds.2024.3462651","url":null,"abstract":"","PeriodicalId":54300,"journal":{"name":"IEEE Transactions on Cognitive and Developmental Systems","volume":"49 1","pages":""},"PeriodicalIF":5.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142266493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
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