A Digital Twin Simulation Platform for an AI-powered AMR for Warehousing

该项目将对一种高度先进的驱动系统进行可行性研究，该系统将操作自主移动机器人(AMR)。可行性研究将为人工智能驱动的AMR提供一个用于仓储的数字孪生模拟平台。该项目具有创新性，因为它使用了颠覆性技术，即由Cyclopic开发的专利电力驱动系统。该项目的主要动机是与屡获殊荣的CAV实验室(萨里大学)合作进行可行性研究，以证明先进的人工智能与车轮调平系统智能地工作，以自动平衡AMR，实现俯仰和侧倾。这确保了平台的稳定性，从而保护了负载，并为AMR增加了更大的稳定性。平台的负载平衡能力通过不断监控其运行的AI传感器而得到增强。这将最大限度地利用核心履行中心技术(仓库)，从而显著提高整体生产率和效率。通过将人工智能集成到机器人平台中，我们的目标是建立最有效的算法来改善平台的平衡。这样做是为了监控负载，以获得更快的速度和更大的稳定性。人工智能系统将能够在图形显示器上为操作员识别理想的装载点。Cycle已经确定的业务需求和技术挑战是提高AMR在仓库环境中的稳定性。这是通过自主平衡来实现的，提高了目前AMR的速度和稳定性。赠款资金将用于与萨里大学英国领先的自主机器人研究中心CAV-Lab合作。数字仿真平台将演示将操作AMR例如的电驱动系统的好处。提高稳定性和负载平衡，从而在仓库操作中建立精度并加快进程。可行性研究将重点介绍使用最先进的传感器和激光雷达系统的驱动系统，以生产一种AMR，在机器人移动的同时，在工厂车间进行协商，始终保持装载床水平，在机器人从一个工位移动到另一个工位时保护负载。可扩展的驱动系统可以经济、高效地制造，该项目将对AMR进行详细研究，这将改变仓库和制造业的游戏规则。为自主工厂机器人提供更安全的解决方案，增加生产任务的价值，并克服众多技术障碍。

The project will produce a feasibility study for a highly advanced drive-system that will operate an Autonomous Mobile Robot (AMR). The feasibility study will produce a digital twin simulation platform for the AI-powered AMR for warehousing.The project is innovative because it is using disruptive technology the patented Electric Drive System developed by Cyclopic.The main motivation for the project is to work with the award-winning CAV Lab (University of Surrey) to work on the feasibility study to prove that the advanced AI works intelligently with the wheel levelling system to autonomously balance the AMR, achieving pitch and roll. This ensures the stability of the platform, thereby protecting the load and adding greater stability to the AMR.The load balance capabilities of the platform are enhanced by AI sensors that constantly monitor its operation. This will maximise core fulfilment centre technology (warehouse), thereby significantly increasing overall productivity and efficiency. By integrating AI into the robotic platform, we aim to establish the most effective algorithm for improving the platform's balance. This will be done to monitor the load for faster speed and greater stability. The AI system will be able to identify the ideal loading spot on the graphic display for an operator.The business need & technological challenge that Cyclopic has identified is to improve the stability of AMR in a warehouse setting. This is achieved through autonomous balancing, improving the current AMRs' speed and stability.The grant funding will be used to work with CAV-Lab, leading UK autonomous robotic research centre at the the University of Surrey. The digital simulation platform will demonstrate the benefits of the electric drive-system that will operate the AMR eg. increase in stability & load balance therefore establishing accuracy & speeding up the process within warehouse operation.The feasibility study will highlight the drive-system using state-of-the-art sensors and Lidar systems to produce an AMR that negotiates the factory floor, while the robot moves, keeping the load bed level throughout, protecting loads as the robot moves from station to station.The scalable drive-system can be manufactured economically ,efficiently and the project will provide a detailed study of an AMR that will be a game-changer for the warehouse & manufacturing industry. Providing a safer solution for an autonomous factory robot that adds value to production tasks and overcomes numerous technical barriers.