RoboCapture. Automated and agile robotic platform for image and 3D scanning data capture in construction
机器人捕捉。
基本信息
- 批准号:10004430
- 负责人:
- 金额:$ 6.82万
- 依托单位:
- 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:
- 关键词:
项目摘要
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,利用自主、稳定、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,主要用于建筑行业的建筑工程,对棕地(危险)土地感兴趣,以及其他一些行业的次要用例,如医疗保健、农业、仓库、深挖、安全。机场等等。因此,我们正在探索机器人技术,以提高对重复、危险和艰苦任务的适应能力。**目的***深入了解建筑市场最终用户的技术需求。*生产一种创新的新型敏捷轮式机器人的演示设备,使我们能够在现实世界的场景中与最终用户接触。*评估我们知道在更深层次上存在的商业机会。**主要关注领域***大幅降低与使用机器人解决方案进行自动检测任务相关的成本。*提高采集数据的质量、覆盖范围和频率。*详细探讨Motion Impossible (MI)如何使其核心技术多样化并扩展到新市场。**如何创新?**MI已在全球高端电视/电影制作中为高质量图像捕获提供机器人解决方案超过6年。MI开发的技术可以直接转移到其他市场解决类似问题,MI有一个他们希望采取的市场多样化战略。这项可行性研究将探索现有的MI稳定技术的结合,并将其与轮式全方位运动的全新创新相结合,这将为在许多不同的操作场景中模仿人类的敏捷性和稳定性提供一种具有成本效益的解决方案。虽然轮式机器人和全向解决方案存在,并且相对成本有效,但它们的弱点使它们无法在许多地形和情况下可行。行走机器人在敏捷性方面提供了显著的改进,但这是在成本过高的水平上,减少了可行的市场机会的数量。这项研究将为目前轮式机器人和步行机器人之间的空间提供一个经济有效的解决方案。它将以一种目前无法实现的方式移动和稳定图像和3D数据捕获设备。
项目成果
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其他文献
吉治仁志 他: "トランスジェニックマウスによるTIMP-1の線維化促進機序"最新医学. 55. 1781-1787 (2000)
Hitoshi Yoshiji 等:“转基因小鼠中 TIMP-1 的促纤维化机制”现代医学 55. 1781-1787 (2000)。
- DOI:
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LiDAR Implementations for Autonomous Vehicle Applications
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
吉治仁志 他: "イラスト医学&サイエンスシリーズ血管の分子医学"羊土社(渋谷正史編). 125 (2000)
Hitoshi Yoshiji 等人:“血管医学与科学系列分子医学图解”Yodosha(涉谷正志编辑)125(2000)。
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Effect of manidipine hydrochloride,a calcium antagonist,on isoproterenol-induced left ventricular hypertrophy: "Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,K.,Teragaki,M.,Iwao,H.and Yoshikawa,J." Jpn Circ J. 62(1). 47-52 (1998)
钙拮抗剂盐酸马尼地平对异丙肾上腺素引起的左心室肥厚的影响:“Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,
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