Data-based robotic maintenance and repair

基于数据的机器人维护和维修

• 批准号: 2691951
• 金额: --
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2691951
• 关键词: Data; based; robotic; maintenance; repair

Project problem:Automated fault-detection and repair of expressways can improve their lifespan. Automating the repair process requires robotic devices that are capable of localizing and reaching the damaged location, perform manipulation of deformable materials and perform controlled interaction with the uneven road surfaces. Autonomous robot maintenance and repair processes will also be investigated in simulation at first, then proceed to real world demonstrations as the main outcome of this project.Project summary:The proof-of-concept will be first developed in simulation and later tested in an in-vitro setup. The student will develop simulated robotic platforms that can autonomously reach target locations on static uneven surfaces and perform object manipulation tasks. The student will develop algorithms for precisely localizing and reaching the damaged location once the region of interest is identified. Finally, the project involves development and testing of closed-loop control strategies for shaping deformable functional materials and patching damaged surface areas.

项目问题：高速公路的自动故障检测和维修可以提高它们的寿命。自动化修复过程需要能够定位和到达受损位置的机器人设备，执行可变形材料的操作，并与不平整的路面进行受控交互。自主机器人的维护和维修过程也将首先在模拟中进行研究，然后进行现实世界的演示，作为该项目的主要成果。项目概述：概念验证将首先在模拟中开发，然后在体外设置中进行测试。该学生将开发模拟机器人平台，该平台可以在静态不均匀表面上自主到达目标位置并执行物体操作任务。学生将开发算法，以便在确定感兴趣的区域后精确定位并到达受损位置。最后，该项目涉及开发和测试闭环控制策略，以塑造可变形的功能材料和修补受损的表面区域。