Ultra-low cost infrastructure free navigation and obstacle detection for a low cost automated mobile robot for warehouse order picking

该项目旨在评估开发超低成本自动移动机器人（AMR）的可行性，该机器人使用无基础设施导航算法和非常低成本的视觉系统，用于导航和障碍物检测。它旨在支持更自动化的仓库拣件操作，并将部署在人类和机器人不断合作的环境中。该项目基于牛津大学移动机器人小组最近获得的专利知识产权，该项目开发了用于快速增长的拣件仓库操作的AMR的规格和要求。将评估使用基础设施自由导航算法和非常低成本的商用现成视觉系统的可行性。低成本视觉系统的使用也将被用于综合导航和障碍物检测的能力。将生产一个试验性抗菌素反应装置作为技术示范，并在一个有代表性的仓库环境中进行测试。

The project aims to assess the feasibility of developing an ultra-low cost automated mobile robot (AMR) using infrastructure free navigation algorithms and very low cost vision systems for both navigation and obstacle detection. It is aimed to support more automated warehouse piece picking operations and will be deployed in an environment in which humans and robots continuously intermingle cooperatively. The project builds on recently patented IP from Oxford University Mobile Robotics group The project develops the specification and requirements for an AMR for use in the fast growth piece picking warehouse operations. The feasibility of using infrastructure free navigation algorithms and a very low cost commercial off the shelf vision system will be assessed. The use of the low cost vision system will also be reviewed for capability for combined navigation and obstacle detection. A trial AMR unit will be produced as a technology demonstrator and tested in a representative warehouse environment.