Data-based robotic maintenance and repair

项目问题：高速公路的自动故障检测和修复可以延长其使用寿命。自动化修复过程需要能够定位并到达受损位置的机器人设备，执行可变形材料的操作，并与不平坦的路面进行受控相互作用。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，然后作为该项目的主要成果进行真实世界的演示。项目摘要：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。学生将开发模拟的机器人平台，这些平台可以自动到达静态不平坦表面上的目标位置，并执行对象操纵任务。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用于成形可变形功能材料和修补受损表面区域的闭环控制策略。

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.