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AUTONOMOUS
@autonomousevent
The media platform and flagship conference for robotics and physical AI.
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Reportedly, the world's fastest high-DoF hand has been developed by LinkerBot, which also featured at the World Humanoid Robot Games finals. The Linker Hand L30 is a tendon-driven robot hand with 22 degrees of freedom, 18 of them actively driven and 4 passive. The company pitches it for research, medical assistance and precision industrial assembly. Cables act as tendons to pull the finger joints, the way tendons move a human hand. LinkerBot pairs them with high-resolution encoders and tendon-tension control, which it says gives the hand ±0.2 mm repeatability. Speed: full open or close in 0.2 s, finger flexion up to 363.6°/s, thumb flexion up to 450.35°/s Force: 9 N at each fingertip, 6.5 N at the thumb, 39 N five-finger grip, 15 kg maximum load Sensing: tactile sensor arrays in the fingertips Integration: CAN FD and Mini-USB, 500 Hz communication, 24 V DC, 1,192 g LinkerBot also makes the O6, a smaller linkage-driven hand with 6 active degrees of freedom, a 70 N grip and a listed weight of 360 g. Beijing-based LinkerBot closed a Series B+ round in April at a reported $3 billion valuation.
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The first full body humanoid designed for children. This is the DoBot LUMO, positioned as hardware that brings embodied intelligence closer to everyday environments. First shown yesterday, LUMO boasts - Multimodal Emotional Perception to better react to human emotions - 3D Spatial awareness although this is arguably a non negotiable for the modern humanoid - Proactive human interaction training so that LUMO interacts with users without being prompted - Powered by DOBOT’s self-developed embodied intelligence model, LUMO can learn from real-world interactions and data feedback. The company has not released any technical specifications, but clearly, it knows how to mimic karate. Is anyone keeping count of how many humanoids are coming out of Shenzhen lately?
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If an AI bubble does exist, it's not showing signs of popping. A new megaround was just announced by the company building the factories behind AI. @CrusoeAI has raised $3.9B at a $30B post-money valuation.
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Nobody is expecting humanoids to reach the home until at least 2030. Every timeline still puts full deployment some time away. @Figure_robot might have just disrupted this way of thinking. Index pretraining achieved a 56% success rate on unseen homes, compared to just 9% without the training. Cost was thought to be a large barrier for the end customers, just a few years ago, a humanoid would have been closer to $100k than $10k. Not only is that now not the case, @adcock_brett's lease approach brings them into a home for "something like $600 a month" How close are we to seeing a humanoid in every kitchen, living room & bedroom?
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The operator with the largest fleet of dexterous robots running continuously in the United States builds, almost, in silence. @watneyrobotics is a quiet titan in the robotics industry.
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We’ve raised $80 million in Series A funding, co-led by the Valor Atreides AI Fund and Hummingbird Ventures, with continued participation from Conviction, Abstract, A*, and Grant Gordon. This brings our total raised to over $100 million. We started Watney by asking a simple question -- what can a robot enable in industries where the work remains valuable on an infinite horizon? We found an answer in the fundamental inputs to civilization: energy, matter, and intelligence. A robot will never be as charming as a barista or as personable as a housekeeper, but it can be more exacting than a surgeon. And, a breakthrough in one quickly becomes the capability of millions. We don’t imitate human motions or processes. We care about the new, differentiated capabilities robots can unlock. We work on problems where our choice of embodiment gives us an order of magnitude advantage, whether through precision, reliability, or scale. Compute is just beginning to transform society, but it’s constrained by execution. Since 2025, Watney has been serving the largest hyperscalers in the world, helping accelerate their compute rollout through an end-to-end deployment model. Across hundreds of thousands of hours in customer facilities, our systems have achieved more than four nines of reliability. They’ve enabled our customers to build data centers faster, at larger scales, and with more ambitious architectures. Today, we operate the largest fleet of dexterous robots running 24/7/365 across the United States. This is all to say, it's an exciting time at Watney. We’re all here because we want to see more ambition in the physical world. We are hiring across all domains. Join us.
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How did a $100m ARR robotics company solve scale? "Unlike language models, speech or video, in robotics there are three axis to evaluate data quality. One is how scalable you are, how diverse it is, and how close it is to robot." Robotics has four ways to collect training data. Each one comes with its own fault. Robots collecting their own data produces the best-targeted data and scales slowest, because the physical world will not run faster than real time. Teleoperation is the industry default and produces almost no diversity. Simulation runs far faster than real time, but every new task needs an environment built by hand. Human video is the most abundant and the furthest from a robot, since a person has a different body and you cannot see the forces they apply. There is not one "Golden path" as @deepakpathak put it on stage at AUTONOMOUS earlier this year. @SkildAI
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The value in physical comes from being able to deploy it across different bodies and environments. It's making models so good, that edge cases become second nature. @fieldai_ handed a full passenger vehicle to a customer, gave it a waypoint dozens of miles out in the vehicle's own coordinates, then removed its maps and its GPS. Every decision the vehicle made came from FIeld's Foundation Models. Shayegan Omidshafiei, President and Chief Scientist at FieldAI, on stage at AUTONOMOUS.👇
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@fieldai_ has developed its own model architectures in-house, labelled Field Foundation Models (FFMs). Designed, like many models, for better physical generalisation but also better at reducing the level of hallucination seen across other chosen architectures. It's the models they use to make robots better equipped for a variety of terrains.
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The sessions end at 5. The conversations continue long after. @moonlake is hosting the official AUTONOMOUS after hours party in SF directly after the event. Spots are limited: When one room closes, another opens. Exclsuive access just for #AUTONOMOUS2026# attendees.
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Keynote Announcement🎙️ Autonomy in the Wild. A keynote feature from Shayegan Omidshafiei of @fieldai_. 🗓️ San Francisco, July 16th 📌 The Midway 🎟️ Field AI builds Field Foundation Models, an embodiment-agnostic autonomy brain that runs on almost any robot body and operates in unstructured, GPS-denied places with no prior map. This keynote closes the day on the Frontier Stage. A behemoth in its own right with roughly $400m from backers, including Bezos Expeditions and Khosla Ventures, who will also be at #AUTONOMOUS2026#.
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