Hirebotics为招聘提供了云机器人。它包括产品,如灯塔云工具和云机器人焊接控制细胞通过一个iOS和Android应用程序。公司成立于2015年,位于纳什维尔,田纳西州。

路径机器人是一个基于哥伦布公司生产自动焊接机器人基于专有的人工智能和计算机视觉算法。

光学和光谱设备的供应商。公司提供设备用于工业过程的测量和诊断。公司提供了质量控制的成像系统,优化和喷涂的发展过程是基于数字相干变化检测(CCD)相机和图像处理。该公司还提供了基于二极管激光器的频闪成像和测量小,高速目标,和工业过程。

智能激光专业激光视觉系统,专注于研究、开发和制造。它提供焊接、切割、搬运、装配、抛光、工业机器人或自动机器和其他解决方案,以及设计、流程测试、系统集成、技术咨询和其他客户服务。它成立于2013年,总部设在唐山、河北。

Tecnar设计,开发,制造,市场先进的工业过程监测和控制传感器。它提供了一个管短管焊接机器人,热喷涂监控解决方案,实时浴管理工具,laser-ultrasonics无损检测,实时焊缝质量检验等等。它成立于1989年,位于Saint-Bruno魁北克省。

田纳西州的机器人技术公司获得了STTR二期赠款项目的标题为:远程的爬墙机器人自动化焊接流程的造船业。他们的研究项目将推动移动机器人焊接系统(股价)显著提高自动化船舶制造技术在美国。为美国造船行业提供自动化提出了重大挑战。传统的机器人系统是不够的在造船等行业的特点是规模和规模,这是由于其固有的不能坚持和机动不均匀,甚至倒环境,同时保持一个焊缝。团队解决这些问题通过合并最近爬墙机器人技术为远程检查任务在电力行业自动化焊接设备。这个项目将推动这项技术,从实验室到现场并解决现实世界的情况带来的技术挑战。这将包括车辆和操纵交互在动态环境中,传感器系统能够处理变量条件下,和健壮的导航和控制算法与自我保存和纠正行为。这提出了努力专注于技术创新显著推进制造业的自动化,通过自主检验和维护流程,移动机器人攀爬。另外如果成功的结果,该项目将推进知识的国家在非结构化环境中远程执行机器人任务。机器人的普遍需要这样的能力是巨大的。 Shipbuilding is an extremely labor-intensive, $15 billion dollar industry in the US, and its success depends on improvements in productivity. Over $40 trillion will be spent worldwide in infrastructure spending between 2005 and 2030. The US will spend $6.52 trillion overall and $1.53 trillion in energy/power segment with includes pipelines, storage facilities and alternative energy. Robotic Technologies Of Tennessee is a company that received a STTR Phase I grant for a project entitled: Development of a Remote Climbing Robot for Automating Welding Processes in the Ship Building Industry. Their research project will demonstrate a novel, climbing, robotic manufacturing platform to significantly advance automated ship fabrication techniques in the US. The goal of providing automation to the American ship-building industry poses significant challenges for several reasons: the industry presents a highly unstructured environment that could be restrictive to the mobility of autonomous machines; manufacturing requirements in the industry dictate a large degree of flexibility in the operation of fabrication equipment; and the industry requires reliable operation in a physically demanding environment. This proposal offers a solution to these challenges by merging recent climbing robot technology developed for remote inspection tasks in the coal-fired electric power industry with automated (but manually driven or tracked/feature-based) welding equipment and by adding lessons learned in developing intelligent and mechanically robust equipment for harsh environments. In modern sea-going vessels, there is a vast amount of welding and cutting required during the process of creating the bulkhead assemblies. Automating these tasks for this industry provides several significant advantages: process safety improvements for hazardous environments or for space-constrained environments that require disassembly for manual inspection; cost reductions through decreased need for manual, repetitive activities or setup of elaborate equipment; and, quality improvements as processes are automated. In the longer term, these efforts will serve as a base for extending this flexible automation tool to many parts of the ship fabrication, inspection and maintenance process. Finally, the proposed work will advance the state of knowledge in performing robotic tasks remotely in unstructured environments, and will contribute to increased automation in many other fields that present tasks that are hazardous or expensive for humans.