Robotics News – January 2022

最有趣的机器人学报在Robodk的团队中为您带来了。

Industrial Robot Brief

CES 2022 ensured that January kicked off in spectacular fashion, with newhumanoids, Samsung’splans进入美国机器人市场,并德雷的autonomous tractor抓住大部分的头条新闻。

There were some interesting industrial technologies debuted at the show too, including the new Intel Alder Lake S-series and H-series processors for edge computing and IoT applications,ubiquity机器人'低成本,基于ROS,移动机器人称为“传送带”,'和Doosan的升级智能农场解决方案。

在其他地方,谈到Tesla的开发人形机器人,首席执行官Elon Musk计划musthat the project “has the potential to be more significant than the vehicle business over time” and grocery delivery giant Ocado revealed that it’s using3D打印技术to build the pick-and-pack robots used in its fulfillment centers in an effort to improve packaging efficiency and reduce operating costs.

同样在1月份,自主移动机器人制造商MIR宣布了一个42% increase在2021年和Cobot Pioneer的销售额Universal Robots报告报告年收入311,000,000美元,2020年增加41%和2019年前大流行病成果增加23%。

Credit: DHL Supply Chain

DHL Supply Chain announced aUSD15 million investment在波士顿动态的自动化中(从后者的引人注目的“拉伸”机器人的部署开始,在分销中心卸载过程中),和Fanuc推出了M-1000IA, its most powerful serial-link industrial robot to date, with a payload of 1000 kg.

老城的崛起

机器人类服务(RAAS)商业模式允许公司通过租赁机器人和组件而不是直接购买自动化的好处。近年来Raas的出现是工业机器人的最令人兴奋的趋势之一 - 对于传统上没有由于所涉及的资本成本而无法部署自动化的较小公司。

Credit: FORMIC

Today, by leveraging RaaS opportunities, companies can rent automation at an hourly rate that’s considerably less than hiring a human worker. Market analystsABI Research估计raas的已安装基础将于2016年的4,442个单位增长至2026年的130万。

有线covered this topic and the implications for factories and labor, in January, reporting that:

林恩吴宾夕法尼亚州沃顿省沃顿省沃顿省沃顿省的副教授和2019年学习的同志,表示,她希望机器人在一小时内变得更加普遍。但她指出,与许多信息技术相比,很少有企业知道如何使用机器人。“她说,这将花费更长的时间,”她说。

新的人体机器人协作研究

与以前的人类和机器人以前比以往任何时候都多,研究人员正在竞争,以了解和改善人类机器人的合作,特别是在工业环境中。

中国研究人员开发了一个闭环人机界面,将听觉,视觉和触觉虚拟现实(VR)集成到机器人VR系统中。该系统使用肤色弹性体硅作为用户皮肤的粘合剂界面。铜线连接电池,传感器和其他电子产品和无线传输使得佩戴者能够将说明发送到远程机器。(H TAZO机器人)

The system proposes using electronic skin as the basis of wireless human-machine interfaces for robotic VR. Credit: PLOS

Meanwhile, researchers at China Three Gorges University claim to have developed a system that uses a combination electrical readings from muscles and brainwaves to read a human co-worker’s mind with 96 per cent accuracy.

The co-worker did not need to say or do anything when they needed a tool or a component, as the robot would recognise the intention almost instantly, picking up the object and putting it on the workstation, according to the developers.

华南早报, Jan 06, 2022

在其他地方,一项一项研究发表于1月份PLOS ONEfound that humans mirror the movement of humanoid robots that they’re interacting with. Additionally, the rhythmic coordination between human and robot looks similar to that between humans.Popular Sciencereports: “Most participants noticed that they were synchronizing with the robot, but they were unsure of whether it was themselves or the robot who was the one adjusting their tempo. Perhaps finding a way to measure intentionality through EEG or fMRI could be a next step in mapping this behavior pattern onto neurobiology, [lead researcher] Ghiles Mostafaoui proposes.

Ubco Moberal Student Debasmita Mukherjee正在探索对机器人的方式,以便他们可以安全地与人一起工作。信誉:英国哥伦比亚大学,奥卡拉根

And Safety & Health Magazinereported加拿大不列颠哥伦比亚省大学研究人员的工作进入人体机器人合作。该团队制定了一个系统,将人工智能和机器学习结合在一起,帮助机器人预测其他机器人和人类会做什么,并适当地响应。即将推出的是博士生,博士生的博士,预计将在适应的协作机器人的背景下包括人类和机器人之间的互动水平的新型分类,以及对适应性协作机器人的背景下的机器学习方法和工业应用。

蓝色来源获得蜜蜂机器人

Jeff Bezos’ Blue Origin has announced plans to acquire Honeybee Robotics, a company that specializes in the development of space-based robotic systems. The terms of the deal were not disclosed.

Founded in 1983, Honeybee Robotics has developed automation for several Mars missions (see video below) and is currently collaborating with NASA on the蜻蜓mission to explore Saturn’s moon Titan.

Blue Origin hasn’t disclosed its long-term plans for Honeybee, but, as空间新闻据报道,蓝色原产地和贝佐斯“长期以来使用空间资源讨论,使人类扩大到太空”,“因此,收购似乎会看到蜜蜂矿物提取和测试机器人和工具的进一步扩展和开发。

金鱼驾驶其坦克找食物

The viral star of January’s robotics news was not a robot, but a goldfish. Like something from Douglas Adams’Hitchhiker Galaxy的指南,金鱼can move its ‘Fish Operated Vehicle’ –which is also an aquarium and a robotic platform– around in order to reach a reward. Developed by researchers at Ben-Gurion University of the Negev in Israel, the system was designed to test the navigational capabilities of goldfish.

Over time, the researchers found that the fish came to understand that their actions could impact the movement of the FOV in desired ways, leading them to a tasty reward. Next, the team changed the environment—the fish drove their little FOV around both indoor and outdoor arenas and with changing targets and obstacles. They found the fish had no problems adapting; they drove straight for their reward, demonstrating their ability to use the FOV to navigate to desired locations.

‘Goldfish taught to drive little land vehicle to desired targets,’PhysOrg, Jan 05, 2022

RoboDK’s Reading

1月份的五个机器人新闻项目抓住了我们的注意力。

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