I-Corps: An Optimized Warehouse Robot Control Device

I-Corps：优化的仓库机器人控制装置

• 批准号: 2227116
• 负责人: Paul Ranky
• 金额: $ 5万
• 依托单位: New Jersey Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-15 至 2023-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2227116&HistoricalAwards=false
• 关键词: Corps; Optimized; Warehouse; Robot; Control; Corps; Optimized; Warehouse; Robot; Control

This I-Corps project is based on the potential development of warehouse-robot optimization control devices for human-robot or fully-automated order picking preference decisions. The proposed technology is a hardware and software-integrated firmware warehouse robot control device. The technology can potentially work in hybrid, as well as in fully automated warehouse management and fulfillment centers. It is a proposed modular system including a control device with integrated artificial intelligence and machine learning and is designed to potentially improve warehouse efficiency and productivity. The innovation focuses on two important aspects of hybrid/human and fully automated warehouse optimization: waste reduction and efficiency or productivity improvement challenges.The broader impact/commercial potential of this I-Corps project is the development of a warehouse robot control device to potentially optimize order picking preferences for fully automated eCommerce management. The commercialization opportunities of the device include the global warehouse automation industry. In general, organizations in this industry experience an average of two periods of unscheduled downtime over three years. The cost of unplanned downtime is between $10,000 to $250,000 per hour. As an operational efficiency system, this technology could impact global supply chain issues and possibly provide a more reliable and faster service for all of eCommerce.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该I-Corps项目基于人类机器人或完全自动化的订单选择偏好决策的仓库机器人优化控制设备的潜在开发。提出的技术是硬件和软件集成的固件仓库机器人控制设备。该技术可以在混合动力以及全自动仓库管理和履行中心中使用。这是一个建议的模块化系统，其中包括具有集成人工智能和机器学习的控制设备，旨在提高仓库效率和生产力。该创新重点介绍了混合/人类和全自动仓库优化的两个重要方面：降低和效率或生产力提高挑战。该I-Corps项目的更广泛的影响/商业潜力是开发仓库机器人控制设备，可以潜在地优化完全自动化的环保管理的订单偏好。该设备的商业化机会包括全球仓库自动化行业。一般而言，该行业的组织平均经历了三年的平均时间外停机时间。计划外停机时间的费用在每小时10,000至250,000美元之间。作为一种运营效率系统，这项技术可能会影响全球供应链问题，并可能为所有电子商务提供更可靠，更快的服务。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估审查标准来通过评估来获得支持的。