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reuters.com

Google introduces new AI models for rapidly growing robotics industry​


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March 12, 20255:21 PM EDT



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March 12 (Reuters) - Alphabet's (GOOGL.O), opens new tab Google launched two new AI models tailored for robotics applications on Wednesday based on its Gemini 2.0 model, as it looks to cater to the rapidly growing robotics industry.

The robotics field has made large strides over the past few years with increasing advancements in AI and improving models, speeding up commercialization of robots largely in industrial settings, according to industry experts.

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Google's launch comes a month after robotics startup Figure AI exited its collaboration agreement with ChatGPT-maker OpenAI after it made an internal breakthrough in AI for robots.

The search engine giant's Gemini Robotics is an advanced vision-language-action model that will have physical actions as a way to provide output.

The second model, named Gemini Robotics-ER, will enable a robot to have an advanced understanding of the space around it and lets developers run their own programs using reasoning abilities offered by Gemini 2.0.

Google said its models are designed for robots of all form factors including humanoids and other types used in factories and warehouses.

Using robotics-focused AI models developed by the likes of Google and OpenAI can help cash-strapped startups reduce development costs and increase the speed at which they can take their product to market.

Google said it tested the Gemini Robotics model on data from its bi-arm robotics platform, ALOHA 2, but can be specialized for complex use cases such as Apptronik's Apollo robot.

Apptronik raised $350 million in a funding round last month led by B Capital and Capital Factory, with participation from Google to scale production of AI-powered humanoid robots.

Google had bought robotics pioneer Boston Dynamics in 2013, and sold the company, known for its dog-like and humanoid robots, to SoftBank Group Corp about four years later.

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Boston Dynamics Atlas running, somersaulting, cartwheeling, and breakdancing



 

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[Robotics] Unitree G1 - Kip-up, Sweeping Kick, Tai Chi




Commented on Fri Mar 21 15:12:29 2025 UTC

I find it funny that they have to clarify that the video is real and not generated by AI because of the amount of people who continue to believe that these videos are fake.


│ Commented on Fri Mar 21 15:59:32 2025 UTC

│ It's so funny. They keep trying new elements and posting extra videos to make it hard for people to call it fake, cgi or ai generated.

│ Some people thought the first dancing video was fake, so they posted 请大家欣赏,宇树G1跳舞实拍 - 小红书 with a mirror behind the robot while they hit it with balls and sticks.

│ Same thing for the kung fu video, so they posted 720度回旋踢,请听声音! - 小红书 but with the ceo in frame interacting with it.

│ For the side-flip video, they just had someone firing at it.

│ And for this most recent one, they have people in the background and interacting with the robot again, and now they finally added text.

│ Some people will still think they're fake, even with all that. But as more companies showcase the same capabilities, like in that recent Boston Dynamics video, it'll just keep getting harder to stay a skeptic and call them fake.
default.jpg



Movement creates intelligence - Unitree's G1 humanoid robot nails the world's first kip-up!😘



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One year after Unitree H1 (1.8m) pioneered the first standing backflip by an electric humanoid robot (March 2024). Meet the Unitree G1 – now flawlessly conquering an even more challenging standing side flip. (Zero malfunctions/damage occurred during programming and filming.)
 

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Introducing IntuiCell



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Introducing IntuiCell, the first software enabling any machine to learn like humans and animals do.

This is our first showcase of an off-the-shelf quadruped robot learning in real-time, in the real-world, from scratch. Utilizing the first digital nervous system, developed by IntuiCell.
 

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Introducing FlashBot Arm: Semi-Humanoid Embodied AI Service Robot | Pudu Robotics



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Developed by Pudu X-Lab, FlashBot Arm elevates the capabilities of our flagship FlashBot by blending advanced 𝐡𝐮𝐦𝐚𝐧𝐨𝐢𝐝 𝐦𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 and 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐲 𝐜𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬, powered by cutting-edge 𝐞𝐦𝐛𝐨𝐝𝐢𝐞𝐝 𝐀𝐈. This powerful combination allows the robot to autonomously perform a wide range of tasks across diverse settings, including hotels, office buildings, restaurants, retail spaces, and healthcare facilities.

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[Robotics] Unitree Release | Unitree Dex5 Dexterous Hand



Posted on Tue Apr 1 08:04:22 2025 UTC


Single hand with 20 degrees of freedom (16 active+4 passive). Enable smooth backdrivability (direct force control). Equipped with 94 highly sensitive touch points (optional).
 

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They really out here making fighting robots as a first priority :mjlol:

I might have to befriend Will Smith in the next 5 to 10 years :patrice:
 

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techxplore.com



Text2Robot platform leverages generative AI to design and deliver functional robots with just a few spoken words​


Duke University

8–10 minutes



Text2Robot platform leverages generative AI to design and deliver functional robots with just a few spoken words

Overview of the four steps in Text2Robot framework. Credit: arXiv (2024). DOI: 10.48550/arxiv.2406.19963

When personal computers were first invented, only a small group of people who understood programming languages could use them. Today, anyone can look up the local weather, play their favorite song or even generate code with just a few keystrokes.

This shift has fundamentally changed how humans interact with technology, making powerful computational tools accessible to everyone. Now, advancements in artificial intelligence (AI) are extending this ease of interaction to the world of robotics through a platform called Text2Robot.

Developed by engineers at Duke University, Text2Robot is a novel computational robot design framework that allows anyone to design and build a robot simply by typing a few words describing what it should look like and how it should function. Its novel abilities will be showcased at the upcoming IEEE International Conference on Robotics and Automation (ICRA 2025) taking place May 19–23, in Atlanta, Georgia.

Last year, the project won first place in the innovation category at the Virtual Creatures Competition that has been held for 10 years at the Artificial Life conference in Copenhagen, Denmark. The team's paper is available on the arXiv preprint server.

"Building a functional robot has traditionally been a slow and expensive process requiring deep expertise in engineering, AI and manufacturing," said Boyuan Chen, the dikkinson Faculty Assistant Professor of Mechanical Engineering and Materials Science, Electrical and Computer Engineering, and Computer Science at Duke University. "Text2Robot is taking the initial steps toward drastically improving this process by allowing users to create functional robots using nothing but natural language."

Credit: Duke University

Text2Robot leverages emerging AI technologies to convert user text descriptions into physical robots. The process begins with a text-to-3D generative model, which creates a 3D physical design of the robot's body based on the user's description.

This basic body design is then converted into a moving robot model capable of carrying out tasks by incorporating real-world manufacturing constraints, such as the placement of electronic components and the functionality and placement of joints.

The system uses evolutionary algorithms and reinforcement learning to co-optimize the robot's shape, movement abilities and control software, ensuring it can perform tasks efficiently and effectively.

"This isn't just about generating cool-looking robots," said Ryan Ringel, co-first author of the paper and an undergraduate student in Chen's laboratory. "The AI understands physics and biomechanics, producing designs that are actually functional and efficient."

For example, if a user simply types a short description such as "a frog robot that tracks my speed on command" or "an energy-efficient walking robot that looks like a dog," Text2Robot generates a manufacturable robot design that resembles the specific request within minutes and has it walking in a simulation within an hour. In less than a day, a user can 3D-print, assemble and watch their robot come to life.

The new Text2Robot platform can design and 3D print a wide range of animal-inspired mobile robots based solely on a user’s request. Credit: Duke University

"This rapid prototyping capability opens up new possibilities for robot design and manufacturing, making it accessible to anyone with a computer, a 3D printer and an idea," said Zachary Charlick, co-first author of the paper and an undergraduate student in the Chen lab. "The magic of Text2Robot lies in its ability to bridge the gap between imagination and reality."

Text2Robot has the potential to revolutionize various aspects of our lives. Imagine children designing their own robot pets or artists creating interactive sculptures that can move and respond. At home, robots could be custom-designed to assist with chores, such as a trash can that navigates a home's specific layout and obstacles to empty itself on command. In outdoor environments, such as a disaster response scenario, responders may desire different types of robots that can complete various tasks under unexpected environmental conditions.

The framework currently focuses on quadrupedal robots, but future research will expand its capabilities to a broader range of robotic forms and integrate automated assembly processes to further streamline the design-to-reality pipeline.


Pieces of an AI-designed and 3D-printed mobile robot are assembled. Credit: Duke University

"This is just the beginning," said Jiaxun Liu, co-first author of the paper and a second-year Ph.D. student in Chen's laboratory. "Our goal is to empower robots to not only understand and respond to human needs through their intelligent 'brain,' but also adapt their physical form and functionality to best meet those needs, offering a seamless integration of intelligence and physical capability."

At the moment, the robots are limited to basic tasks like walking by tracking speed commands or walking on rough terrains. But the group is looking into adding sensors and other gadgets into the platform's abilities, which would open the door to climbing stairs and avoiding dynamic obstacles.

"The future of robotics is not just about machines; it's about how humans and machines collaborate to shape our world," added Chen. "By harnessing the power of generative AI, this work brings us closer to a future where robots are not just tools but partners in creativity and innovation."

More information: Ryan P. Ringel et al, Text2Robot: Evolutionary Robot Design from Text Descriptions, arXiv (2024). DOI: 10.48550/arxiv.2406.19963

Journal information: arXiv



Citation: Text2Robot platform leverages generative AI to design and deliver functional robots with just a few spoken words (2025, April 10) retrieved 10 April 2025 from Text2Robot platform leverages generative AI to design and deliver functional robots with just a few spoken words

This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.
 

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Boston Dynamics Atlas Demos New Abilities


Boston Dynamics Atlas Demos New Abilities

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Boston Dynamics revealed just how coordinated the new Atlas is becoming in this recent demo of the robot walking, running, crawling and more...PARKOUR! 🤖🤸 #bostondynamics #atlasrobot #robotics #parkour

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