EAGER: GOALI: Distributed Embedded Vision System for Multi-Unmanned Ground Vehicle Coordination in Indoor Environments

这个学术界和工业界之间的合作项目提供了一个可配置和便携式的基于视觉的基础设施，用于工业卡车的分散协调，也称为室内环境中的自动导引车（AGV）。AGV有可能通过有效地完成配送和制造中运输材料的平凡且经常重复的任务，彻底改变制造和配送，医疗保健和军事等领域的运营。该研究解决了最近在配送中心和制造业中成功引入商业机器人系统以运输物品的局限性，但通常仅限于特定和限制性环境。 该研究将这些技术扩展到通过移动站和物体来快速重新配置的环境。通用模型、工具和技术的开发是为了用语义标记的对象、动作和事件积极地捕捉世界，并生成目标、优先级和计划。本研究提出的解决方案解决了分散协调、实时环境变化的要求。该方法使用一组分布式的天花板安装式智能摄像机，具有重叠的视野，用于设施级别的全局视图和协调，以及安装在AGV上的摄像机，用于短程卡车导航。多卡车协调，然后帧的问题，在一个动态的和分层的网络中，摄像机代表路由器和卡车代表数据包的路由。为了解决图像处理任务的复杂性，硬件/软件实现利用了一个基于FPGA的目标平台，从以前的NSF资助的项目，其中低级别的固有并行图像处理任务被映射到硬件，而高级别的推理保持在软件中。这个项目将提供一个接口形式主义来指定组件集成和系统组合沿着优化运行时和资源使用的方法。这项研究预计将产生一个基础设施和方法，用于在动态变化的室内环境中分散的基于视觉的自动驾驶车辆活动协调。开发的基础设施将使制造和分销公司，包括精益和敏捷的实体，能够在现有安排中优化室内运输活动，而无需修改现有基础设施，并通过将员工重新部署到增值角色来降低劳动力和运营成本。此外，AGV有潜力在许多其他非结构化环境中实现自主移动的机器人应用，包括医院、商场、零售店、关键基础设施、机场、学校和体育场馆。该项目是由费耶特维尔的阿肯色州大学和亚特兰大的R-Dex大学共同努力进行的，将为本科生和研究生提供在学术和工业环境中工作的机会。在阿肯色州工程职业意识计划大学以及全国黑人工程师协会（NSBE）和西班牙裔专业工程师协会（SHPE）的阿肯色州大学分会的支持下，将增加代表性不足群体的参与。

This collaborative project between academics and industry provides a configurable and portable vision-based infrastructure for decentralized coordination of industrial trucks, also known as Automated Guided Vehicles (AGVs) in indoor environments. AGVs have the potential to revolutionize operations in areas such as manufacturing and distribution, health care, and military by efficiently accomplishing the mundane and often repetitive task of transporting materials in distribution and manufacturing. The research addresses limitations of recent successful introduction of commercial robot systems in distribution centers and manufacturing to transport items, but typically only to specific and restrictive environments. The research extends these technologies to environments that are quickly reconfigured by moving stations and objects around. Generic models, tools, and technologies are developed to actively capture the world with semantically labeled objects, actions and events, and to generate goals, priorities, and plans. The solutions proposed in this research address the requirements of decentralized coordination, real-time environmental changes. The approach uses a set of distributed ceiling-mounted smart cameras with overlapping field-of-view for global view and coordination at the facility level, and cameras mounted on AGVs for short-range truck navigation. Multi-truck coordination is then framed as the problem of routing packets in a dynamic and hierarchical network where cameras represent routers and trucks represent packets. To address the complexity of image processing tasks, the hardware/software implementation utilizes an FPGA-based target platform from a previous NSF-Funded project, where low-level inherent parallel image processing tasks are mapped onto hardware while high-level reasoning is kept in software. This project will provide an interface formalism to specify component integration and system composition along with methods to optimize run-time and resource usage. This research is expected to produce an infrastructure and methods for decentralized vision-based coordination of autonomous vehicles activities in a dynamically changing indoor environment. The developed infrastructure will enable manufacturing and distribution companies, including lean and agile entities, to optimize indoor transportation activities in existing arrangement, without modification of available infrastructure, and reduce labor and operating costs by redeploying employees to value-added roles. In addition, AGVs have the potential to enable autonomous mobile robot applications in numerous other unstructured environments, including hospitals, malls, retail stores, critical infrastructure, airports, schools, and sports venues. The project is conducted as a joint effort between the University of Arkansas in Fayetteville and R-Dex in Atlanta and will provide undergraduate and graduate students opportunities to perform their work in academic and industrial environments. The involvement of under-represented groups will be increased with the support of the University of Arkansas Engineering Career Awareness Program, and the University of Arkansas chapters of the National Society of Black Engineer (NSBE) and the Society of Hispanic Professional Engineers (SHPE).