Adaptive Self Learning Robotic Linishing and Polishing

可变性传统上是自动化的敌人，但随着今天对定制和选择的关注，这种情况需要改变。在英国制造业广泛使用和采用。自动化必须能够处理大尺寸的变化，并且能够在不同的操作之间快速有效地变化。该项目通过开发和应用自适应路径规划系统来解决这个问题，该系统将在使用过程中改变预先设置的机器人程序，以便适应部件形状和大小的变化。解析：句意：将建立一个自动抛光和抛光自动化单元的技术演示，以高度抛光塑料部件。该系统将具有测量和响应被加工零件的尺寸、形状和要求的能力，从而使其具有自编程和自适应能力。__Blanson_是一家高度工程化的丙烯酸部件制造商，将由两家中小企业机器人技术合作伙伴A3L和HAL Robotics提供支持。A3L是机器人集成商，专注于为中小企业提供自动化精加工操作，但他们希望成为自动化精加工解决方案的高端全球供应商。HAL Robotics是自适应机器人路径规划方面的专家，他们的软件框架允许使用传感器或/和测量数据来“在飞行中”改变机器人程序，从而允许过程灵活并由部件的属性控制。A3L将与HAL合作，提供一种创新的精加工解决方案，可以在Blanson的制造设施中使用。我们的目标是“一刀切”的方法来完成自动化，即系统将能够处理多个零件而无需重新编程。它将利用传感器数据来确定工艺需要应用的位置以及完成的时间，即，表面粗糙度或零件几何读数将反馈到软件解决方案中，该解决方案将确定适合度并自动生成任何必要的纠正机器人刀具路径。人工智能还将用于处理数据，以优化磨料消耗品的使用。目前的最佳做法是在规定的时间内使用磨料，然后处理它们（无论它们是否使用），我们相信每月使用的耗材数量可以大大减少，从而节省大量成本，并推动更环保的方法。

_Variability_ _is traditionally the enemy of automation__, but with today's focus on customisation and choice this needs to change. To be widely used and adopted across UK manufacturing. automation must be able to handle large dimensional changes and be capable of changing quickly and effectively between different operations. This project addresses this issue with the development and application of an adaptive path planning system that will alter the pre-set robot program whilst in use so that changes in part shape and size can be accommodated.__A technology demonstrator of an automated linishing and polishing_ _automation cell will be built_ _to highly polish plastic parts. The system will have the capability to measure and react to the size, shape and requirements of the part to be processed thereby making it self-programming and adapting.__Blanson_ _are a manufacturer of highly engineered acrylic parts and will be supported by two SME, robotic technology partners, A3L and HAL Robotics. A3L are robotic integrators focused on delivering automated finishing operations to SME's but they hope to become a high-end global supplier of automated finishing solutions. HAL Robotics are specialists in adaptive robot path planning, their software Framework allows the use of sensor or/and measurement data to alter robot programs 'on the fly' thereby allowing for the process to be flexible and controlled by the attributes of the part._ A3L will work together with HAL to deliver an innovative finishing solution that can be utilised within Blanson's manufacturing facility. We are aiming for a 'one size fits all' approach to finishing automation, i.e., the system will be able to process multiple parts without reprogramming. It will utilise sensor data to determine where the process needs to be applied and when it is complete i.e., surface roughness or part geometry readings will be fed back into a software solution which will determine fitness and automatically generate any necessary corrective robot toolpaths. AI will also be used to process data to optimise use of abrasive consumables. Current best practice is to use the abrasives for a set time period and then dispose of them (whether they are spent or not), we believe the volume of consumables used monthly can be greatly reduced delivering huge cost savings and driving a greener approach.