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Full Description
This book reports some latest human-robot collaboration technologies and manufacturing applications. Human-robot collaboration (HRC) is a promising new technology, in which humans and robots share their skills to establish joint capacities to perform complicated industrial jobs. The technology can meet the ever-increasing requirements for high-mixed/low-volume product manufacturing. In this book, foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. The book details innovative HRC design in terms of HRC safety assurance, robotic learning from demonstration, HRC activity planning and replanning. Manufacturing case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers.
The book offers a valuable resource for researchers in the intelligent manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in intelligent manufacturing and Industry 4.0.
Contents
Introduction.- Collaborative Robot Technologies for Industrial Tasks.- Learning from Demonstration for Autonomous Generation of Robot Trajectories.- Safe Human-Robot Collaboration for Industrial Settings.- End-of-Life Electric Vehicle Battery Disassembly Enabled by Intelligent and Human-Robot Collaboration Technologies.- An Improved Task-Parameterised Learning-from-Demonstration Approach for Collaborative Robots in Dynamic Manufacturing.- Optimised Learning from Demonstration for Collaborative Ro-bots.- Improved Deep Lagrangian Network-Enabled Momentum Ob-server for Collision Detection During Human-Robot Collaboration.- Dynamic Disassembly Planning of End-of-Life Products for Hu-man-Robot Collaboration Enabled by Multi-Agent Deep Rein-forcement Learning.- Human-Robot Collaborative Disassembly Enabled by Brain-waves and Improved Generative Adversarial Network.- Robotic Removal of Screws for End-of-Life Product Remanufac-turing Enabled by Deep Reinforcement Learning.- Adaptive Obstacle Avoidance in Path Planning of Collaborative Robots for Dynamic Manufacturing.



