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

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.

这个i-Corps项目是基于仓库机器人优化控制设备的潜在开发，用于人-机器人或全自动订单挑选偏好决策。所提出的技术是一种软硬件一体化的固件仓储机器人控制装置。这项技术可能适用于混合动力系统，也可以用于全自动仓储管理和配送中心。这是一个拟议的模块化系统，包括一个集成了人工智能和机器学习的控制设备，旨在潜在地提高仓库效率和生产率。这项创新集中在混合/人工和全自动化仓库优化的两个重要方面：减少浪费和效率或生产率提高的挑战。这个i-Corps项目的更广泛影响/商业潜力是开发一个仓库机器人控制设备，潜在地优化全自动化电子商务管理的订单挑选偏好。该设备的商业化机会包括全球仓库自动化行业。一般来说，该行业的组织在三年内平均会经历两次计划外停机。计划外停机的成本在每小时10,000美元到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的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。