类人型自主机器人会打太极拳,但功夫很弱-斯坦福HumanPlus机器人

原文链接:https://newatlas.com/robotics/autonomous-humanoid-robot-shadows-humans/

 

The HumanPlus, with a 0-0 record, lands a 1, 2 left, right punch                 Stanford Humanplus

HumanPlus以0比0的战绩,命中了1次左、右两拳。                       斯坦福Humanplus

In a Stanford lab, researchers took a Unitree H1 humanoid robot, modified it, and used it to copy human movement with a webcam to train it to autonomously do tasks people would do – or don't want to do, like fold laundry.

在斯坦福大学的一个实验室里,研究人员拿了一个Unitree H1人形机器人,对其进行了改造,并用它用网络摄像头复制人类的动作,训练它自主完成人们会做或不想做的任务,比如叠衣服。

Zipeng Fu, Qingqing Zhao, and Qi Wu, researchers at Stanford University near Palo Alto, CA, have developed a human-like robot, dubbed HumanPlus, that's capable of learning to autonomously do human tasks by first copying them. The team uses a full-stack system to aid in the robot's ability to learn from humans.

加州帕洛阿尔托附近斯坦福大学的研究人员傅子鹏、赵青青和吴琦开发了一种类似人类的机器人,名为HumanPlus,能够通过首先复制它们来学习自主完成人类任务。该团队使用全栈系统来帮助机器人向人类学习。

"We first train a low-level policy in simulation via reinforcement learning using existing 40-hour human motion datasets. This policy transfers to the real world and allows humanoid robots to follow human body and hand motion in real time using only a RGB camera, i.e. shadowing."

“我们首先使用现有的40小时人体运动数据集,通过强化学习,在模拟中训练一个低级别的策略。该策略转移到现实世界,允许人形机器人仅使用RGB相机实时跟踪人体和手的运动,即阴影。”

 

Introduce HumanPlus - Autonomous Skills part

Humanoids are born for using human data. Imitating humans, our humanoid learns:

- fold sweatshirts

- unload objects from warehouse racks

- diverse locomotion skills (squatting, jumping, standing)

- greet another robot Open-sourced!

Open-sourced!

介绍HumanPlus -自主技能部分

类人机器人天生就使用人类数据。模仿人类,我们的类人机器人可以学习:

- 折叠运动衫

- 从仓库货架上卸载物品

- 多样化的运动技能(蹲、跳、站)

- 欢迎另一个开源机器人!

 

On the HumanPlus website, there are at least a dozen video examples of the things the HumanPlus robot are able to do while shadowing, from playing the piano to playing ping pong. There are also quite a few examples of its learned autonomous abilities such as jumping, typing, and even greeting a fellow robot with a handshake.

在HumanPlus网站上,至少有十几个HumanPlus机器人在跟踪时可以做的事情的视频示例,从弹钢琴到打乒乓球。还有相当多的例子表明它学会了自主能力,比如跳跃、打字,甚至用握手来问候机器人同伴。

It's slow, awkward, and pretty clunky in its tasks, but this is a humanoid robot that you or I can purchase right off the shelf today for the low price of US $90,000. The Stanford researchers have modified theirs to the tune of about $107,945 with the addition of hands from Inspire-Robots, wrists from Robotis, and Razer webcams for eyes, giving it 33 degrees of freedom.

它的任务执行缓慢、笨拙,而且相当笨重,但这是一个人形机器人,你或我今天可以以9万美元的低价直接购买。斯坦福大学的研究人员已经将其改装到大约107945美元,增加了Inspire-Robots的手、Robotis的手腕和Razer的摄像头作为眼睛,使其具有33个自由度。

The code used to create the HumanPlus is all open source on GitHub as well. With a little bit of know-how and a lot of dollars, you too could be training your very own 5'11 (180 cm), 104 lb (47 kg) robotic servant in your garage. The H1 even holds the world record for speed, able to run at 7.4 mph (11.9 kph) and can do backflips.

用于创建HumanPlus的代码也都是GitHub上的开源代码。只要有一点专业知识和大量资金,你也可以在车库里训练自己的5英尺11英寸(180厘米)、104磅(47公斤)的机器人仆人。H1甚至保持着速度的世界纪录,能够以7.4英里/小时(11.9公里/小时)的速度奔跑,并可以进行后空翻。

It doesn't look like much of a boxer, though, we have to say.

不过,我们不得不说,它看起来不像一个拳击手。

 

Introduce HumanPlus - Shadowing part

Humanoids are born for using human data. We build a real-time shadowing system using a single RGB camera and a whole-body policy for cloning human motion. Examples:

- boxing 

- playing the piano/ping pong

- tossing

- typing

介绍HumanPlus-阴影部分

类人因使用人类数据而诞生。我们使用单个RGB相机和克隆人体运动的全身策略构建了一个实时阴影系统。示例:

-拳击

-弹钢琴/打乒乓球

-投掷

-打字

 

 

While it may look pretty wobbly, humanoid robot tech is still in its infancy, much like a human child learning how to walk. Many companies are betting these things will explode in capability in the coming years, and begin a revolution that may spell the end of human labor.

虽然它看起来很不稳定,但人形机器人技术仍处于初级阶段,很像一个学习走路的人类孩子。许多公司押注这些东西将在未来几年爆发能力,并开始一场可能意味着人类劳动终结的革命。

 

Source: Humanoid-ai.github.io

来源: Humanoid-ai.github.io

 

 

 

 

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posted @ 2024-07-01 14:36  智能佳机器人  阅读(69)  评论(0编辑  收藏  举报