teleoperator kicking himself over not programming Asimov's Laws of... Robotics... Worth considering if we should base today's reality on the science fiction musings from the past. Testing with humanoid robots is a very interesting new challenge. Historically robots have been confined to keep out zones with rigid walls and laser barriers, lock-out/tag-out, etc. This is the easy way to ensure people don't get hurt by very capable machines. But the more we integrate humanoid robotics into collaborative roles with humans the more we need to remove those barriers by nature of the work.show more

Wes
676,932 次观看 • 7 个月前
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
16,854 次观看 • 1 年前
Something big is happening in robotics - and it’s... hiding in plain sight. This post is not about dancing robots but in the data that powers them. Open robotics datasets have exploded this year, turning the field into a more scalable and collaborative ecosystem. In just two years, Hugging Face datasets grew from 11k to over 600k - and robotics is by far the fastest-growing segment. We went from 1k robotics datasets in 2024 to 27k in 2025! For comparison, text generation, the second-largest category, has only around 5k datasets in 2025. That gap is massive. Open datasets are important because robotics lives and dies by real-world robot data - video, actions, sensors, failures. By making this data easy to upload, reuse, and benchmark, researchers, startups, and large players are now releasing real-robot datasets that would have stayed locked inside labs just a few years ago. Major contributors include NVIDIA, LeRobot initiative, and a rapidly growing maker community. This surge is also enabled by cheaper video storage, better tooling, and an open-source AI culture now spilling into the physical world. And it really matters: open robotics data dramatically lowers entry barriers, accelerates learning-by-doing, and speeds up progress toward generalist and humanoid robots. Robotics won’t scale through hardware alone - but to a large extent through shared data. Viz below from AI World - link to the story and more viz/filters in comment.show more

Pierre-Alexandre Balland
186,017 次观看 • 7 个月前
It was all so we could build homes with... robots. All of our work in floorplan AI,and generative CAD modeling, we did all of that, just so that we could build homes with robots. Early on we talked to a robotics engineer from Katerra. It took them $750k to switch from one house to another house. It takes us 25 minutes, and that's if we had a big lunch. P.S. The soundtrack is hardcore punk, lyrics written by me, but everything else is udio.show more

Barrett Ames
390,137 次观看 • 1 年前
🚀Thrilled to share what we’ve been building at TRI... over the past several months: our first Large Behavior Models (LBMs) are here! I’m proud to have been a core contributor to the multi-task policy learning and post-training efforts. At TRI, we’ve been researching how LBMs can help robots learn faster, better, and more efficiently. The key takeaways: ✅ We built an evaluation pipeline to benchmark LBM performance with real 𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐜𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐜𝐞 ✅ Pre-training on hundreds of tasks makes models more robust—plus, we can teach new, complex tasks with 80% 𝐥𝐞𝐬𝐬 𝐝𝐚𝐭𝐚 ✅ The bigger and more diverse the pre-training, the better the results Check out our overview video, webpage and paper for more details: ✨ 🌎 📄 We hope this work helps move the field of robotics forward!show more

Zubair Irshad
20,377 次观看 • 1 年前
Had an amazing time at the Stanford Robotics Center... Launch event this Saturday! The Packard building’s underground floor has been transformed into a bright new robotics lab, complete with a mocap room, specialized spaces for domestic, field, and surgical robots, and even an aquarium in progress for the Ocean One bot! Check out the videos below—there’s one of me operating a Da Vinci surgical robot 🤖 Robotics truly embodies interdisciplinary collaboration, pulling together expertise from electrical engineering, mechanical engineering, computer science, materials science, HCI, and design. It’s the kind of field where no single department could drive research forward alone. This new center is an incredible resource to unite researchers, and I have to admit, I’m a bit envious of the PhD students who get to work in such an inspiring environment! Look forward to more great research work from Stanford!show more

Charles Qi
17,886 次观看 • 1 年前
A Letter to Our Community: The Road Ahead for... Robotics To our Community and Partners, As we step into 2026, our mission at Axis is clearer than ever: Constructing the definitive End-to-End Scaling Layer for Robotics. Our goal is to accelerate the transfer of diverse human intelligence into Robotics General Intelligence (RGI). By owning the critical path of intelligence creation, we are turning the physical limitations of robotics into a scalable, software-driven future. Here is our strategic outlook and roadmap for the year ahead. The Core Thesis: Simulation is the Only Way Out The path to RGI is currently blocked by Data Scarcity, Generalization Fragility, and Hardware Fragmentation. At Axis, we believe Simulation is the only way out. Our Simulation Data Platform and Data Augmentation Engine transform raw data into "Synthetic Gold". Backed by academic milestones like Roboverse, Skill Blending, and GraspVLA, we have proven that pure simulation can achieve the generalization required for the real world. We don’t just collect data; we architect it. The Engine: Why Crypto? We believe RGI should come from all, not a few. Crypto is not just a feature; it is the primitive that powers our entire ecosystem flywheel: - Incentive Mechanism: Democratizing contribution and rewarding the trainers and developers. - Assetization: Turning proprietary data and refined models into liquid, ownable assets. - Verifiable Workflow: We are opening the "Black Box" of AI. By bringing total transparency to the Task Generation → Data Collection → Model Training pipeline, we ensure every byte of intelligence is verifiable, traceable, and secure. 2026 Strategic Deliverables This year, we are committed to delivering three foundational pillars: - The World's Largest Training Dataset for Robots: A robot training set—diverse, high-quality interaction data at an unprecedented scale. - A Robotics Foundation Model: A universal robotic brain trained on our pure simulation and synthetic data, capable of robust cross-embodiment transfer and open-world adaptability. - Evolvable Robot Hardware: Robots deployed with Axis models that autonomously evolve through continuous interaction, turning every deployment into a self-improving node within our RGI network. The Ultimate Vision We are building more than models; we are architecting the Distributed Machine Economy. A future where every dataset, model, and robotic embodiment is a verifiable asset in a global, autonomous network. Thank you for building the future of intelligence with us✌️📷show more

Axis Robotics
27,858 次观看 • 6 个月前
"We have had a good run for our money... with this gas chamber story we have been putting about, but don't we run the risk that eventually we are going to be found out? And when we are found out, the collapse of that lie is going to bring the whole of our psychological warfare with it." - Victor Cavendish-Bentinckshow more

Ryan
28,167 次观看 • 17 天前
"We have had a good run for our money... with this gas chamber story we have been putting about, but don't we run the risk that eventually we are going to be found out? And when we are found out, the collapse of that lie is going to bring the whole of our psychological warfare with it." - Victor Cavendish-Bentinckshow more

Ryan
42,606 次观看 • 2 个月前
If people are going to come here, they have... to integrate with us - not the reverse. Britain is a Christian country, and we should not be afraid to stand up for our way of life.show more

Rupert Lowe MP
212,659 次观看 • 1 年前
Liam Rosenior applauds the Matthew Harding Stand. Not sure... what to make of that! The fact we only lost by a goal with that many starters out was way better than expected. However, defensively we were all over the place and lucky not to lose by more!show more

Charlie Patrick
264,280 次观看 • 6 个月前
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
87,429 次观看 • 1 个月前
We're just going to keep growing and growing and... there is nothing you can do to stop this because we have already successfully on boarded the creator first. We harnessed the power of AI by combining it with a precious metal, gold. Every single english speaker in the world knows abcdefg. By the way this is OG, bing chilling. (Lead by John Xina of China) 89S7oVB4hui8ceJqhHreWB7fcxdthfvoB7z2pfJtpump The longer you hold the more cashback you get because this is a cashback coin, but we have an auto burn mechanism. Yes, it's true, and we were first to do that also.show more

FIRSTviralonboardOGcreatorAIcoin
14,852 次观看 • 3 个月前
BOOM! Humanoid Robots Just Performed Surgery for the First... Time! REAL VIDEO! In a groundbreaking preclinical breakthrough, researchers at UC San Diego have achieved what many thought was years away: teleoperated humanoid robots successfully completing live surgeries. Published in Nature, the study marks the world’s first use of humanoid robots for in-vivo laparoscopic procedures on large animals (pigs). Two separate surgeries were completed: Key Details •. Procedure: Laparoscopic gallbladder removal (cholecystectomy) •. Team 1: Human surgeon + one humanoid robot (the robot performed core tasks while the human assisted) •. Team 2: Two humanoid robots working together with no human at the operating table •. Robots: Custom “Surgie” humanoids (~5 ft tall, ~60 lbs) using standard surgical tools •. Control: Fully teleoperated by surgeons (remote human control, not autonomous) •. Significance: First demonstration of humanoid robots handling real surgical workflows in a live setting, proving compatibility with existing OR tools and spaces This proof shows humanoid robots could one day help address surgeon shortages, enable remote procedures in rural areas, battlefields, or even space all at a fraction of the cost and space of traditional surgical robots like da Vinci. Read the full publication here: Project page with video: The future of surgery just got a whole lot more interesting. And medical cost for the first time in decades will be scheduled to go down, much further down.show more

Brian Roemmele
107,357 次观看 • 17 天前
🚨BREAKING Unitree's IPO application on the Science and Technology... Innovation Board has been formally accepted by the Shanghai Stock Exchange, with a planned fundraising of 4.202 billion yuan. Of this, the intelligent robot model R&D project accounts for the majority, amounting to 2 billion yuan. In other words: For Unitree, hardware is no longer the problem,the real bottleneck that urgently needs to be overcome is the development of intelligent robot models. Notably, Unitree reports that it has sold over 5,500 humanoid robots,ranking first globally,making them the growth engine of its robotics business.show more

CyberRobo
90,612 次观看 • 4 个月前
The Sabotaging Practice of Over Supply and Sameness in... the NFT Space. The current zeitgeist of the NFT space is that the same artists are doing the same kind of work five times a year, with project after project leaving a trail of disappointment and discontent among collectors and all of us watching in disbelief as huge resources are extracted from the space over work that feels like it could be left as an "artist study." I understand that you can do what you want with your money as collectors, but we are killing the whole space with this incestuous practice. No artist is that prolific to be able to do 5 collections of 100+ pieces each every year and actually deliver innovation and some kind of creative evolution. Of course, they can pretend play that the work has something new, but there is no precedent nor proof that that has ever happened in the speed that it happens in the NFT space. Again, people are free to through away their resources on whatever they want but with this way of doing things, we more and more are going to start seeing the consequences. Oh! There are consequences? Yes. Maybe unintended, but there are. Let's see. Let's start with the loss of belief in the NFT space as somewhere where emerging artists can come and find support for their experiments. Why even bother to bring experiments, innovation, and new ways to think of art on the blockchain if the same people have all the collectors hypnotized with their magical flutes? Why even try to come to a space where taking risks and challenging the status quo (the mission of art!!!) is overlooked? This makes the NFT space a social club and not a space for art. I guess it is fine, but IMO it is a recipe for disaster. New collectors stay away because the art will slowly but surely become stale and un-challenging. Why even bother to come and see what is happening here if you can't, as a collector, see new weird and up-and-coming artists? The amount of noise emitted by the same artists doing the same art over and over, drowns out any new voices. Again. A recipe for disaster. The NFT space is becoming a space of disappointment and doubt. We think that collections going to zero one after the other, over and over, is not damaging? I feel we are kidding ourselves. Disappointment piles up, and again, the people who will hurt are the emerging artists, the new blood, the ones who are willing to risk the most and, in return, put fire in this cold space of sameness. I love this space—don't get me wrong—it has changed my life, and I believe it has a ton of potential, but things need to change for it to become a beacon of light in art. But we need to support new voices. We need to support new ideas. The challenge is huge. I hope to contribute all I can to this change. I hope more and more see how exciting it is to go out and try to discover what else is out there and move this space forward. But again, I understand the leaps of faith needed, but if there is a space that is based on that, it's the NFT space...so there is hope. We will see. 📺by Boldtronshow more

alejandro cartagena
98,261 次观看 • 2 年前
Scott Jennings says the quiet part out loud about... what’s happening in the wake of Charlie Kirk’s assassination. Scott Jennings points to the disturbing trend on the left to whitewash what the killer’s motives actually were. “What I am not happy about is that we have the shooter’s words.” “We know what he put on the bullets.” “It’s VERY, VERY, VERY clear what happened here. And there is a movement by some people to say; ‘Well we have no idea.’” “And we do.”show more

Vigilant Fox 🦊
195,103 次观看 • 10 个月前
The most dangerous part of a humanoid robot may... be the face. UBTECH’s Walker shows how a machine can use gaze stillness and humanlike expression to create trust before proving judgment reliability or accountability. Should robots be allowed to look this human in public spaces? Putting the debate aside this is clearly a work of art. Congratulations to UBTECH for this achievement. Walker looks so refined that I may need to buy one fast before the stock runs out lol. Credit : UBTECH Roboticsshow more

TechniaHQ | humanoid robots
50,474 次观看 • 26 天前
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 次观看 • 1 年前
Dear Nigerians, "Patriotism means to stand by the country.... It does not mean to stand by the president." ~Theodore Roosevelt On this national scale, if the mass number of Nigerians are suffering, their lives and properties in jeopardy, it is okay to speak up, call a spade a spade and stop this gov from leading us astray. Now more than ever, we must unite. We must unite against the ruiners of Nigeria before they bury what is left of her. Organization is the first primary weapon of the oppressed. This is the only weapon we are yet to explore, and we can not explore this until we unite. The oppressed Nigerians must organize to form a force against the ruiners of Nigeria and take back our country to have a system that is for the benefit of the Nigerian people and not a few in the position of power. President will come and go, only the people will remain. Don't give those in power today to play politics with your future. Let's unite, not necessary as one but as a team. A team with different skills, languages culture, religion and tradition, but one CAUSE regardless of our tribal differences to stand against the common enemy who have now shown to be a curse on our very own existence as an amazing people of this great nation. ~OIA✊🏿show more

𝐎i𝐀
13,158 次观看 • 1 年前