Industrial Internet Robot Collaboration System and Edge Computing Optimization
Carnegie Mellon University（卡内基梅隆大学）；University of San Francisco（旧金山大学）；University of the Cumberlands（坎伯兰大学）；Northeastern University（东北大学）；Peking University（北京大学）
In industrial Internet environments, mobile robots must generate collision-free global routes under stochastic obstacle layouts and random perturbations in commanded linear and angular velocities. This paper models a differential-drive robot with nonholonomic constraints, then decomposes motion into obstacle avoidance, target turning, and target approaching behaviors to parameterize the control variables. Global path planning is formulated as a constrained optimization problem and converted into a weighted energy function that balances path length and collision penalties. A three-layer neural network represents the planning model, while simulated annealing searches for near-global minima and mitigates local traps. During execution, a fuzzy controller uses heading and lateral-offset errors to output wheel-speed differentials for rapid correction; edge-side computation is discussed to reduce robot-server traffic and latency. Matlab 2024 simulations report deviation within +-5 cm, convergence within 10 ms, and shorter paths than two baseline methods. The approach improves robustness of global navigation in practice.
Stochastic Decision-Making Framework for Human-Robot Collaboration in Industrial Applications
Department of Control and Instrumentation Engineering, King Fahd University of Petroleum and Minerals (KFUPM)（控制与仪器工程系，国王法赫德石油与矿物大学）；Interdisciplinary Research Center for Intelligent Manufacturing & Robotics, King Fahd University of Petroleum and Minerals (KFUPM)（智能制造与机器人交叉研究中心，国王法赫德石油与矿物大学）
Applying Ontologies and Knowledge Augmented Large Language Models to Industrial Automation: A Decision-Making Guidance for Achieving Human-Robot Collaboration in Industry 5.0
Communicating Through Avatars in Industry 5.0: A Focus Group Study on Human-Robot Collaboration
University of Augsburg Augsburg Germany；Centrum Wiskunde \& Informatica Amsterdam The Netherlands；Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, HHI Berlin Germany；National Research Council of Italy, Institute of Intelligent Industrial Technologies；German Research Center for Artificial Intelligence Saarbrücken Germany；University of Augsburg；Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, HHI；German Research Center for Artificial Intelligence
