Using attention-based map encoding, we enable robots to traverse... extremely sparse terrains. We are now developing a new architecture that explicitly plans contact points, rather than latent representations, enabling whole-body contact planning for humanoid robots. Stay tuned.show more

Junzhe (JJ) He
23,555 просмотров • 9 месяцев назад
Qualia has been selected for the Google DeepMind Robotics... Program. We train embodied models that put a robot on a real manual task and make it work, on the floor, not in a demo. Foundation models and reasoning are where robotics is heading, and doing that work alongside DeepMind, who are pushing this frontier, is exactly where we want to be. If you are a company looking to see how a new generation of robots can help your manual tasks, contact us at [email protected] More soonshow more

Qualia
88,038 просмотров • 4 месяцев назад
What does a real humanoid robotics dataset actually look... like? Humanoid robots are expensive and complex, which makes their data unusually difficult to collect - and difficult for most people to get hands-on experience with. We previously shared a post on conversion code for the new Human in the Wild dataset by BitRobot 🦾, Hugging Face, and Unitree. Now we’re publishing the full HIW-500 data converted to RRD, so you can explore that data directly with Rerun. Watch the robot move. Inspect cameras and robot states together. Zoom in on a moment and query episodes through Rerun catalog! If you’re curious about a real-world humanoid dataset, HIW-500 is now a lot easier to explore. We share the conversion code along with our previous abc-130k dataset conversion example.show more

Rerun
11,355 просмотров • 1 месяц назад
CES was an enormous success. We saw thousands of... people and a few dogs interacting with our agents and robots. We booked this booth at the last minute, mainly to book next year’s booth. Truly extraordinary what our team was able to put together on such short notice. Next year we reserved one of the largest booths at CES in the highest traffic location for AI and Robotics. We plan to unveil something extraordinary. Until the next show, we will be debuting the first custom models that will emerge from the first humanoid robotics hot rod shop. These models will be walking around, talking and interacting at tradeshows all over the world over the next few months. We are in the process of acquiring every humanoid robot available on the market to modify these as well. Stay tuned for more updates, the future is here and it’s rapidly accelerating.show more

Parallel
16,898 просмотров • 1 год назад
Official Partnership with Mansory! We’re taking things to the... next level! Our ecosystem is now bridging the world of cryptocurrency with elite automotive tuning, as we officially partner with Mansory – the legendary brand behind exclusive custom-built supercars based on Ferrari, Lamborghini, Rolls-Royce, and other top-tier auto. -- Stay tuned for major announcements! -- We’ll soon reveal more about special benefits for our community. Keep an eye out and be the first to seize these exclusive opportunities! 🤝We are open to co-operation and partnership, contact us in our profileshow more

Vlad Skvor
13,803 просмотров • 1 год назад
With our mainnet launch less than a month away,... we are excited to share that Bitcoin is now integrated with Router Chain! The web3 world is yet to witness super-fast, ultra-efficient Bitcoin bridge and seamless Bitcoin interoperability. Stay tuned for the public launch of our biggest integration yet!show more

Router Protocol
84,659 просмотров • 2 лет назад
46 AXES. A FULL-BODY TOUCH SYSTEM. THIS HUMANOID IS... BUILT TO FEEL CONTACT, NOT JUST COPY MOVEMENT! Watch the arms rise. The movement looks simple, but the interesting part is what sits behind it: a human-shaped machine designed around more than walking or waving. Vita Robotics says its bionic humanoid uses a 46-axis motion architecture, split into 23 axes in the body and 23 in the head, giving it a much wider range of movement than a basic display robot. The company also describes a full-body flexible tactile skin system, designed to detect touch and trigger physical responses. That changes the idea of what a humanoid is supposed to do: instead of only executing a programmed gesture, it is being built to react when a person interacts with it. And that is the bigger race in robotics. Making a machine move is one challenge; making it move naturally, respond to contact and behave consistently around people is another. 46 axes are not just a spec sheet. They are 46 ways for a machine to become more expressive, more responsive and harder to distinguish from a static prop.show more

Future Memo
105,751 просмотров • 21 дней назад
JACK JUST ORDERED 2,000 HUMANOID ROBOTS. SOFT FABRIC WAS... SUPPOSED TO BE THE ONE THING ROBOTS COULDN’T HANDLE.🤖👕 Sewing has always been the automation-proof job. Cloth wrinkles, shifts, deforms — machines are built for rigid parts, not soft ones. Now watch the clip. Alignment deviations for cut pieces like collars and pockets have to stay within ±2mm. Cutting and sewing motions demand 0.3-0.5mm precision — tighter tolerances than most metal assembly work. Robots on this line are already hitting 98% fabric-separation accuracy, running 3-second operations, and reaching 80% of human efficiency. They’re not alone at the machines. Real workers sit right beside them, running the same Juki and Jack stations, same shift. A Jack executive was upfront: the robots can currently perform individual sewing operations, not run a complete production line independently. This is task automation, not a fully autonomous tailor. But it’s real, and it’s running on an active factory floor. Jack Technology has now ordered 2,000 of these units for apparel manufacturing — aiming to lift manufacturing efficiency by at least 30% across the line. Ten years ago, “robot-proof job” was the whole pitch for garment work. That pitch just expired. Would a 2,000-robot rollout change where your clothes get made?show more

DN_DEGEN
28,317 просмотров • 2 месяцев назад
WalkTheDog Cross-Morphology Motion Alignment via Phase Manifolds We present... a new approach for understanding the periodicity structure and semantics of motion datasets, independently of the morphology and skeletal structure of characters. Unlike existing methods using an overly sparse high-dimensional latent, we propose a phase manifold consisting of multiple closed curves, each corresponding to a latent amplitude. With our proposed vector quantized periodic autoencoder, we learn a shared phase manifold for multiple characters, such as a human and a dog, without any supervision. This is achieved by exploiting the discrete structure and a shallow network as bottlenecks, such that semantically similar motions are clustered into the same curve of the manifold, and the motions within the same component are aligned temporally by the phase variable. In combination with an improved motion matching framework, we demonstrate the manifold's capability of timing and semantics alignment in several applications, including motion retrieval, transfer and stylization.show more

AK
27,569 просмотров • 2 лет назад
It's 2030 and you are reviewing humanoid robots. A... Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?show more

Robert Scoble
33,804 просмотров • 1 год назад
As a newly appointed 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿 at Imperial College... London, I'm thrilled to announce the 𝗦𝗮𝗳𝗲 𝗪𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗟𝗮𝗯 (𝗦𝗪𝗜𝗥𝗟) at 𝗜𝗺𝗽𝗲𝗿𝗶𝗮𝗹 𝗖𝗼𝗹𝗹𝗲𝗴𝗲 𝗟𝗼𝗻𝗱𝗼𝗻. 𝗦𝗮𝗳𝗲 𝗪𝗵𝗼𝗹𝗲-𝗯𝗼𝗱𝘆 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗟𝗮𝗯 (𝗦𝗪𝗜𝗥𝗟) ( is a new research lab focused on the intersection of safety and intelligence in next-generation robotics. We're hiring exceptional PhD students who are passionate about pushing the boundaries of robot learning. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗦𝗪𝗜𝗥𝗟 𝘂𝗻𝗶𝗾𝘂𝗲? We operate at the exciting convergence of: • Online & offline reinforcement learning • Imitation learning & human demonstrations • Sample-efficient learning methods • Whole-body and soft robotics systems We're 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗽𝗿𝗼𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲 𝗣𝗵𝗗 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 interested in: • Developing safe exploration algorithms for robotic systems • Creating sample-efficient learning methods that minimize real-world trials • Building foundation models for robotics with safety guarantees • Advancing soft robotics and compliant human-robot interaction • Bridging theory and practice in embodied AI Why now? As robots become more capable and work closer with humans, we need systems that are both intelligent enough to handle complex tasks 𝗔𝗡𝗗 safe enough for real-world deployment. Traditional approaches treat safety and intelligence as competing priorities, we believe they're synergistic. If you're a motivated researcher who wants to develop the theoretical foundations and practical algorithms for tomorrow's safe, intelligent robots, I'd love to hear from you. Want to join? Apply viashow more

Stephen James
16,902 просмотров • 1 год назад
🚨🗣️ Diego Simeone on Julián Álvarez’s future: “My position... is clear, and I know the club’s position is exactly the same. We want Julián to remain an Atlético Madrid player. We have communicated that clearly to him, his representatives and everyone involved. But now, we are waiting for Julián to make his final decision. He has to decide whether he wants to stay at Atlético and continue being an important part of this project, or whether he wants to take on a new challenge abroad. What I will say is that no player is bigger than Atlético Madrid. Not Julián, not anyone. The club, the badge and our supporters will always come first. We respect Julián enormously, but we also expect him to respect the club and the decision we have made. Barcelona is not an option for us. We will not make it easy for Julián to join Barcelona, especially because they are a direct rival. We have no intention of strengthening them or allowing one of our most important players to move there. Arsenal is a different situation. They are a top European club with a great manager, a strong squad and serious ambitions. If Julián decides that he wants to leave Atlético Madrid for a new challenge, Arsenal is a club we are prepared to listen to and negotiate with. We are ready to sit down with Arsenal and discuss a deal if the player makes that decision. But Barcelona? No. Our position is very clear. The final decision is now with Julián. He can stay at Atlético Madrid, where we want him, or choose a new challenge abroad. But whatever happens, Atlético Madrid will always be bigger than any individual player.”show more

Archiveszn
14,789 просмотров • 1 месяц назад
KongzMart is BACK and now on Ronin! KongzMart has... been revamped for its launch on Ronin. We have kept fan favorite features and also added some new ones: ➤ Whitelist purchases are back using $BANANA ➤ Win a whitelist spot by entering $BANANA raffles ➤ Win NFTs from the CyberKongz ecosystem in NFT Raffles ➤ Win NFTs from OTHER projects in NFT Raffles Most KongzMart features will be token-gated to CyberKongz VX and Genkai holders. However, pay attention as some raffles will be opened up to the whole of Ronin👀 KongzMart will launch on Monday and we will be celebrating by having an NFT raffle every day of the week. Stay tuned for more information and see you on Monday🫡show more

CyberKongz
17,281 просмотров • 2 лет назад
Important Update: Final CTF Token Burn Valued at Nearly... $1 Million Scheduled for December 6th. We are excited to announce that the final burn, worth approximately $1 million in CTF reward tokens, is scheduled for December 6th at 11:59 PM. After successfully completing our first burn on December 1st, our team has been focused on developing cross-chain interoperability between XRPL and Polygon. Unfortunately, due to technical challenges, the 2nd and 3rd burn transactions were NOT processed. However, all technical issues have now been resolved, and we are on track for a smooth final burn on December 6th. Following this, we will begin beta testing our rewards payment app—an exciting new phase! Stay tuned for more updates, and thank you for your continued support! For more information visitshow more

CryptoTradingFund
297,175 просмотров • 1 год назад
Dreamscale Labs (YC F26) (YC F26) is the first... inference provider to serve NVIDIA’s DreamZero robot model over the cloud! And we beat NVIDIA's own reported inference speed by 8%, with just half the silicon. DreamZero is a model that pioneered the new wave of “World Action Models” that has taken over generalist robotics today. It promises to generalize better to new tasks, learn physics from human video, and transfer well to new embodiments. Normally, DreamZero requires 2x GB200 superchips (each costing $60K) or is painfully slow (waits 5.7s before moving 1.6s), which made it infeasible to deploy to robots in practice. Now, with Dreamscale’s real-time cloud inference infrastructure, we’ve demonstrated fast, smooth motion on actual robots with sub-second latency. As scaling laws become more relevant in robotics, frontier physical AI models are growing more computationally expensive than ever. With Dreamscale, we are finally making World Action Models (WAMs) accessible to startups and robot developers across the world. Reach out if you are interested in cloud robot inference.show more

Chris Yoo
19,462 просмотров • 27 дней назад
Dear Tesla , We are CyberLocos , two adventurers... traveling the world in a Tesla #Cybertruck to break the Guinness World Record for most countries visited in an electric vehicle. Alan Wurman, aka Alan's Theory , from Chile and Lars Christiansen from Norway. No team of engineers, no help, just two friends doing something crazy. Right now we are in #Malawi, and after finishing with #Africa we will continue through Asia, Australia and Central America. So far we have visited 61 countries, almost double the current record of 33, and our journey is gaining international attention. We would love Tesla’s support in spreading the word about our mission. Our goal is to cross every continent, reach 80 countries, and give Tesla global visibility, showing that Teslas can go anywhere and highlighting the Cybertruck’s durability, range and spirit of adventure. We are not asking for funding, (although that would be extremely helpful), we just want Tesla to acknowledge what we are doing because it is fucking awesome! and help get the word out. Let’s put the Cybertruck on the map together!!! 🤘 Best regards Cyberlocosshow more

CyberLocos
17,631 просмотров • 8 месяцев назад