RoboCapture. Automated and agile robotic platform for image and 3D scanning data capture in construction

机器人捕捉。

• 批准号: 10004430
• 金额: $ 6.82万
• 依托单位: MOTION IMPOSSIBLE LTD
• 依托单位国家: 英国
• 项目类别: Feasibility Studies
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10004430
• 关键词: RoboCapture.; Automated; agile; robotic; platform

To assess the feasibility and discover the technical needs and market opportunities that arise from utilising an autonomous, stabilised, wheeled robotic device to aid and improve image and 3D data capture for scanning, inspecting and monitoring environments, primarily on building works within the construction industry, with an interest in brownfield (dangerous) land, and with secondary use cases in a number of other industries such as healthcare, agriculture, warehouses, deep mining, security, airports and more. As such, we are exploring robotics to increase resilience for repetitive, dangerous and strenuous tasks.**Objectives*** To gain deeper understanding of the technical needs of end users in the construction market.* To produce demonstration equipment of an innovative new agile wheeled robot that will allow us to engage with end users in real world scenarios.* To assess the commercial opportunities that we know to exist on a deeper level.**Main areas of focus*** To dramatically reduce the costs associated with using robotic solutions for automated inspection tasks.* To increase the quality, coverage and frequency of captured data.* To explore in detail how Motion Impossible (MI) can diversify its core technology and expand into new markets.**How it is innovative?**MI has been producing robotic solutions for high quality image capture within high end TV/film productions worldwide for over 6 years. The technology MI has developed is directly transferrable to solve similar problems in other markets, and MI has a strategy of market diversification that they wish to action.This feasibility study will explore the combination of pre-existing MI stabilisation technology and integrate it with a brand new innovation in wheeled omni-directional movement that will provide a cost effective solution for mimicking human like agility and stability in many different operating scenarios.Whilst wheeled robots and omni-directional solutions exist and are relatively cost effective, they have weaknesses which prevent them being viable for many terrains and situations. Walking robots offer significant improvements in agility, but this comes at a cost prohibitive level that reduces the number of viable market opportunities.This study will produce a roadmap for a cost-effective solution that fits in the space between current wheeled and walking robots. It will move and stabilise image and 3D data capture devices in a way not currently available.

评估可行性并发现技术需求和市场机会，这些需求和市场机会来自于利用自主、稳定的轮式机器人设备来帮助和改进图像和3D数据捕获，用于扫描、检查和监测环境，主要是建筑行业内的建筑工程，对布朗菲尔德感兴趣它可以在（危险）土地上使用，并在许多其他行业（如医疗保健、农业、仓库、深层采矿、安全、机场等）中使用二级用例。因此，我们正在探索机器人技术，以提高重复、危险和繁重任务的弹性。**目标 * 深入了解建筑市场最终用户的技术需求。*生产创新的新型敏捷轮式机器人的演示设备，使我们能够在真实的世界场景中与最终用户互动。*在更深层次上评估我们所知道的商业机会。**主要关注领域 * 大幅降低使用机器人解决方案执行自动化检测任务的相关成本。*提高所收集数据的质量、覆盖面和频率。详细探讨Motion Impossible（MI）如何实现核心技术的多元化并拓展新市场。**如何创新？** MI在全球高端电视/电影制作中为高质量图像捕获提供机器人解决方案已有6年多的历史。MI开发的技术可直接用于解决其他市场的类似问题，MI有一个市场多元化的战略，他们希望采取行动。这项可行性研究将探讨现有的MI稳定技术的组合，并将其与轮式全方位的全新创新相结合，定向运动，这将提供一个具有成本效益的解决方案，模仿人类一样，在许多不同的操作场景的敏捷性和稳定性。而轮式机器人和全向，定向解决方案是存在的，并且是相对成本有效的，但是它们具有使它们对于许多地形和情况不可行的弱点。步行机器人提供了显着的提高敏捷性，但这是在成本高昂的水平，减少了可行的市场机会的数量。这项研究将产生一个符合成本效益的解决方案，在当前轮式和步行机器人之间的空间路线图。它将以目前尚不具备的方式移动和稳定图像和3D数据采集设备。