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

该项目将对一个高度先进的驱动系统进行可行性研究，该系统将运行一个自主移动机器人（AMR）。可行性研究将为人工智能驱动的仓储AMR提供一个数字孪生仿真平台。该项目是创新的，因为它使用了颠覆性的技术，即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一起智能工作，以自主平衡AMR，实现俯仰和滚动。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。通过不断监控其运行的人工智能传感器，平台的负载平衡能力得到了增强。这将最大限度地提高核心履行中心技术（仓库），从而显著提高整体生产力和效率。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提高平台的平衡性。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。Cyclopic已经确定的业务需求和技术挑战是提高仓库环境中AMR的稳定性。这是通过自主平衡来实现的，提高了当前amr的速度和稳定性。这笔拨款将用于与英国萨里大学自主机器人研究中心CAV-Lab合作。数字仿真平台将展示AMR eg电动驱动系统的优势。增加稳定性和负载平衡，从而建立准确性并加快仓库操作过程。可行性研究将强调使用最先进的传感器和激光雷达系统的驱动系统，以产生一个AMR，该AMR可以在机器人移动时协调工厂车间，保持负载床始终保持水平，并在机器人从一个站点移动到另一个站点时保护负载。可扩展的驱动系统可以经济高效地制造，该项目将提供AMR的详细研究，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，为生产任务增加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.