The paper presents a novel cloud-based digital twin learning platform for teaching and training concepts of cognitive robotics. Instead of forcing interested learners or students to install a new operating system and bulky, fragile software onto their personal laptops just to solve tutorials or coding assignments of a single lecture on robotics, it would be beneficial to avoid technical setups and directly dive into the content of cognitive robotics. To achieve this, the authors utilize containerization technologies and Kubernetes to deploy and operate containerized applications, including robotics simulation environments and software collections based on the Robot operating System (ROS). The web-based Integrated Development Environment JupyterLab is integrated with RvizWeb and XPRA to provide real-time visualization of sensor data and robot behavior in a user-friendly environment for interacting with robotics software. The paper also discusses the application of the platform in teaching Knowledge Representation, Reasoning, Acquisition and Retrieval, and Task-Executives. The authors conclude that the proposed platform is a valuable tool for education and research in cognitive robotics, and that it has the potential to democratize access to these fields. The platform has already been successfully employed in various academic courses, demonstrating its effectiveness in fostering knowledge and skill development.
Robotic Fruits with Tunable Stiffness and Sensing: Towards a Methodology for Developing Realistic Physical Twins of Fruits
School of Engineering and Materials Science, Queen Mary University of London（伦敦女王学院工程与材料科学学院）；Department of Robotics, Ritsumeikan University（立命馆大学机器人学系）
Predictive Processing in Cognitive Robotics: a Review
Universidad Nacional Autónoma de México（墨西哥国立自治大学）；Scuola Superiore Sant’Anna（圣安娜高等研究院）；National Research Council（国家研究委员会）；Humboldt-Universität zu Berlin（柏林洪堡大学）；Universidad Autónoma del Estado de Morelos（莫雷洛斯州自治大学）
GaussTwin: Unified Simulation and Correction with Gaussian Splatting for Robotic Digital Twins
Intelligent Autonomous Systems Lab, Technical University of Darmstadt（德累斯顿技术大学智能自主系统实验室）；German Research Center for AI (DFKI), SAIROL（德国人工智能研究中心（DFKI）SAIROL）；Robotics Institute Germany (RIG)（德国机器人研究所）；NAVER LABS Europe（NAVER LABS欧洲）
MATTERIX: toward a digital twin for robotics-assisted chemistry laboratory automation
University of Toronto（多伦多大学）；Acceleration Consortium（加速联盟）；Vector Institute（向量研究所）；University of Liverpool（利物浦大学）；University of Salento（萨勒诺大学）；NVIDIA Canadian Institute for Advanced Research（NVIDIA加拿大高级研究机构）；Georgia Institute of Technology（佐治亚理工学院）
TwinRL: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation
State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University（信息处理国家重点实验室，计算机学院，北京大学）；Simplexity Robotics（Simplexity机器人）；Tsinghua University（清华大学）；Hong Kong University of Science and Technology（香港科技大学）
How to Integrate Digital Twin and Virtual Reality in Robotics Systems? Design and Implementation for Providing Robotics Maintenance Services in Data Centers
University of Twente（特文特大学）；Beijing Hanning Tech Co., Ltd（北京汉宁科技有限公司）
A Digital Twin for Robotic Post Mortem Tissue Sampling using Virtual Reality
Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology（医学技术与智能系统研究所，汉堡技术大学）；Institute of Legal Medicine, University Medical Center Hamburg-Eppendorf（法医学研究所，汉堡艾本达大学医学中心）；Interdisciplinary Competence Center for Interface Research（界面研究跨学科能力建设中心）；SustAInLivWork Center of Excellence, Kaunas, Lithuania（可持续性与生活工作卓越中心，考纳斯，立陶宛）
Digital Twin Synchronization: Bridging the Sim-RL Agent to a Real-Time Robotic Additive Manufacturing Control
Department of Mechanical Engineering, University of Louisiana at Lafayette（路易斯安那大学拉斐特分校机械工程系）；Computer Science & Information Systems Department, Bradley University（布雷纳德大学计算机科学与信息系统系）
Unconventional Cognitive Intelligent Robotic Control: Quantum Soft Computing Approach in Human Being Emotion Estimation -- QCOptKB Toolkit Application
Institute of System Analysis and Management, Dubna State University（杜布纳国立大学系统分析与管理研究所）；Joint Institute for Nuclear Research (JINR)（联合核研究所）；Moscow State University of Geodesy and Cartography (MIIGAiK)（莫斯科测绘与制图大学）；Yamaha Motor Co. Ltd.（雅马哈发动机株式会社）
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges
Ritsumeikan University（立命馆大学）；Keio University（庆应义塾大学）；The University of Tokyo（东京大学）；Università Milano-Bicocca（米兰比可卡大学）；University of Essex（埃塞克斯大学）；Donders Institute for Brain, Cognition and Behaviour（唐德斯脑、认知与行为研究所）；Cajal International Neuroscience Center, Spanish National Research Council（西班牙国家研究委员会卡哈尔国际神经科学中心）；Bogazici University（博阿齐奇大学）；Queen Mary University of London（伦敦玛丽女王大学）；The University of Electro-Communications（电气通信大学）；National Autonomous University of Mexico（墨西哥国立自治大学）；Universidad Autónoma del Estado de Morelos（莫雷洛斯州自治大学）；Institute of Cognitive Sciences and Technologies, National Research Council of Italy（意大利国家研究委员会认知科学与技术研究所）
HARMONIC: Cognitive and Control Collaboration in Human-Robotic Teams
Cognitive Science Department（认知科学系）；Department of Computer Science（计算机科学系）；Rensselaer Polytechnic Institute（拉特格斯理工学院）；University of Texas at Austin（德克萨斯大学奥斯汀分校）
Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in AI, Machine Learning, and Digital Twin
King Fahd University of Petroleum and Minerals（法赫德石油和矿产大学）；Interdisciplinary Research Center for Intelligent Manufacturing and Robotics（智能制造与机器人跨学科研究中心）
