日期：2025年9月26日

时间：15:00-16:00

地点：机械馆J3

外国专家：Wojciech Klein, PhD Eng, Silesian University of Technology, Poland

主题：Virtualization of the design process of AGV/AMR mobile robots

专家简介:Wojciech Klein is a mechatronics engineer with over 20 years of experience in industrial automation, robotics, and smart manufacturing. He holds a PhD in Mechanics Engineering from the Silesian University of Technology and has led multidisciplinary teams in designing and implementing automation solutions, including AGV/AMR mobile-robot design and integrations. As founder of technology ventures and R&D director in Etisoft company he managed European funded projects, budgeting, and product commercialization with strategic planning. He excels at multibody dynamics systems and discrete-event simulation, hardware–software co-design, and optimization of production processes using Industry 4.0 technologies. A published academic and university lecturer, he bridges research and industry to deliver innovative, patent-aware solutions and seeks opportunities to drive digital transformation and lead scalable automation projects from concept to production.

沃伊切赫·克莱因（Wojciech Klein）是一位机电一体化工程师，在工业自动化、机器人及智能制造领域拥有逾20年经验。他持有西里西亚理工大学机械工程博士学位，曾领导多学科团队设计与实施自动化解决方案，包括AGV/AMR移动机器人的设计与系统集成。作为科技创业公司的创始人及Etisoft公司的研发总监，他主持过欧盟资助项目，负责预算规划与产品商业化战略部署。他深耕多体动力学系统与离散事件仿真技术，擅长硬件-软件协同设计，并精通运用工业4.0技术优化生产流程。作为著作颇丰的学者和大学讲师，他成功搭建了产学研合作桥梁，持续提供具有专利意识的创新解决方案，致力于推动数字化转型，领导自动化项目从概念设计到量产落地的全周期发展。

报告简要：This presentation explores virtualization of the design process of AGV/AMR mobile robots as a case study. It outlines how digital twins, simulation environments, and model-based engineering accelerate design cycles, reduce physical prototyping, and improve system reliability. Key topics include creating high-fidelity virtual models of mechanical, electrical, and control subsystems with hardware-in-the-loop (HiL) and software-in-the-loop (SiL) testing; and using discrete-event and continuous simulations to validate fleet coordination, traffic management, and safety scenarios. Practical examples demonstrate optimization of navigation algorithms, sensor placement, and battery management through iterative virtual tests, leading to measurable gains in commissioning time and operational uptime. Attendees will gain actionable insights on toolchains, best practices for co-simulation, and strategies to scale virtualization across intralogistics projects to accelerate time-to-market and reduce development risk.

本次专题报告以AGV/AMR移动机器人设计流程虚拟化为案例，深入解析如何通过数字孪生、仿真环境与基于模型的工程方法加速设计迭代、减少物理样机需求并提升系统可靠性。重点内容包括：采用硬件在环（HiL）与软件在环（SiL）测试技术构建机械结构、电气系统和控制模块的高保真虚拟模型；运用离散事件与连续仿真验证集群调度、交通管理与安全场景。通过实际案例展示如何通过迭代虚拟测试优化导航算法、传感器布局及电池管理系统，最终实现调试时间与设备运行率的量化提升。与会者将获得关于工具链配置、协同仿真最佳实践的可操作方法，以及在内物流项目中规模化应用虚拟化技术以加速产品上市、降低开发风险的实施策略。