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Boston Dynamics has released a new video of their next-generation humanoid robot, Atlas. "We are excited to share some of our progress on developing Large Behavior Models for Atlas. This work is part of a collaboration between AI research teams at Toyota Research Institute (TRI) and Boston Dynamics. We...

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Sawyer Merritt

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Boston Dynamics has released a new video of their next-generation humanoid robot, Atlas, walking, running, crawling, breakdancing, somersaulting, and more.
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Boston Dynamics has shared a new video of its humanoid robot, Atlas. "Our engineers made one final push to test the limits of full-body control and mobility, with help from the RAI Institute."
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Reinforcement learning is used to speed the production of behavior for the Boston Dynamics Atlas humanoid robot. At the heart of the learning process is a physics-based simulator that generates training data for a variety of maneuvers.
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Boston Dynamics has unveiled a new electric version of its Atlas humanoid robot that can do push-ups 🤖 While this is in no way an indicator of real-world use, it’s a great demonstration of Atlas’ extremely robust and powerful actuators
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The former American company Robot company, Boston Dynamics many folks, even informed folks have no idea is now part of South Korean Hyundai. They are putting Atlas bipedal humanoid robot to work on the auto production line.
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The former American company Robot company, Boston Dynamics many folks, even informed folks have no idea is now part of South Korean Hyundai. They are putting Atlas bipedal humanoid robot to work on the auto production line.

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Boston Dynamics gave a glimpse at the next version of its Atlas robot at #CES2026, and its predecessor made up for its lack of movement. And now, we know they'll be powered by Google DeepMind AI:
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🚨 BREAKING: Hyundai Worldwide to deploy tens of thousands of robots! Hyundai is scaling up its robotics strategy with a major investment in Boston Dynamics ' robotic platforms. The company plans to deploy tens of thousands of units — including the Atlas humanoid, Spot quadruped, and Stretch trailer-unloading robots—across its manufacturing and logistics operations in the coming years. Spot is already in use at Hyundai’s facilities, performing industrial inspection and predictive maintenance tasks. Atlas, Boston Dynamics’ bipedal robot, is next in line for factory deployment, aimed at addressing physically demanding and repetitive jobs. Beyond deployment, Hyundai will support Boston Dynamics’ growth by integrating the automaker’s manufacturing capabilities to boost robot production. The move is part of Hyundai’s broader ambition to lead in robotics and “physical AI”. That's so cool to see the scale-up phase with humanoids. Looking forward to seeing Atlas live in Boston this month. 🔥
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Excited to share our work on STEERing robot behavior! With structured language annotation of offline data, STEER exposes fundamental manipulation skills that can be modulated and combined to enable zero-shot adaptation to new situations and tasks.
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Excited to share our work on STEERing robot behavior! With structured language annotation of offline data, STEER exposes fundamental manipulation skills that can be modulated and combined to enable zero-shot adaptation to new situations and tasks.

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Boston Dynamics will begin production of the new Atlas robots at its Boston headquarters immediately. All Atlas deployments are already fully committed for 2026, with fleets scheduled to ship to Hyundai and Google DeepMind in the coming months. The company plans to add additional customers in early 2027 and also plans to build a new robotics factory by 2028 that is capable of producing 30,000 robots per year.
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Boston Dynamics has built the most iconic robots of the past years. But behind the viral clips lies a 30-year journey. From an MIT research lab to BigDog, Alphabet, Spot and Stretch, and now electric Atlas. 🧵 This is the real story.
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I’m so excited to finally talk about our new model, Atlas, and share some generations from it..so excited, in fact, that I made a fan trailer for it 😆 It’s an incredibly versatile, multi-task model with a wide range of capabilities. There are many powerful video models out there right now, but after working with Atlas and experimenting with it for so long, I’ve come to really appreciate its elegance and malleability...all rooted in the framework’s simple autoregressive design. As you can see in this video, Atlas is, at a high level, a camera-conditioned visual generation model. But its formulation allows it to learn and perform a variety of tasks remarkably efficiently!
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I’m so excited to finally talk about our new model, Atlas, and share some generations from it..so excited, in fact, that I made a fan trailer for it 😆 It’s an incredibly versatile, multi-task model with a wide range of capabilities. There are many powerful video models out there right now, but after working with Atlas and experimenting with it for so long, I’ve come to really appreciate its elegance and malleability...all rooted in the framework’s simple autoregressive design. As you can see in this video, Atlas is, at a high level, a camera-conditioned visual generation model. But its formulation allows it to learn and perform a variety of tasks remarkably efficiently!

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Excited to share our new work on building a multimodal atlas of human skin in health and inflammatory disease — a project I’m especially proud of, bringing together AI, high-throughput genomics, and clinical science to accelerate discovery. Over the past decade, single-cell genomics has transformed how we map cells in human tissues. But a major challenge remains: can we systematically decode how cells organize into functional niches in situ — including those invisible to standard histopathology? To address this, we integrated large-scale scRNA-seq, spatial transcriptomics, histopathology, and AI-driven modeling frameworks to build an in situ atlas of human skin across health and disease. Led by Lloyd Steele, an MD/PhD student working between Haniffa Lab and my lab at Wellcome Sanger Institute and Cambridge University . Another amazing collaboration with Muzz Haniffa, the mastermind behind the work as part of Human Cell Atlas. A key part of this study is that we didn’t build everything from scratch — we leveraged and combined AI methods that actually work! and showed how they can be used together to extract biological insight at scale. We used: • scArches to build and map into a reference scRNA-seq atlas of human skin: • NicheCompass to identify and characterize spatial niches: • MINT-Flow to extract microenvironment-induced cell states and gene programs: Together, these enabled an end-to-end workflow from atlas construction to spatial mapping, niche discovery, and cell state decoding. At scale, we integrated ~5 million cells and 100+ spatial sections, enabling a systematic view of tissue organization. Using this framework, we identified 26 niches in skin, including known histopathologic structures as well as hidden disease-associated niches not visible on H&E. Among the most striking findings were a resident memory T cell-rich sebaceous gland niche and a plasma cell-rich sweat gland niche, suggesting that appendageal structures act as active immunological microenvironments and may contribute to inflammatory memory and disease persistence. Importantly, this atlas is not just descriptive — it is usable. It can support mapping of new datasets, resolve finer cell types and niches, extract microenvironment-driven programs, and enable predictive analyses at scale. More broadly, this work shows what becomes possible when AI, spatial genomics, and atlas-scale data are integrated end-to-end: not just mapping tissues, but systematically decoding them. This was a massive collaboration, and I’m very grateful to the amazing scientists April Foster, Kenny Roberts, and Chloe Admane. Lloyd is an amazing scientist, and I’m especially excited for the community to see more of his work soon — stay tuned. The data and pre-trained models will be released soon. Preprint:

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Boston Dynamics just dropped the production-ready Atlas at CES 2026, and the specs are next-level. This isn't just a prototype; it's a rugged, enterprise-grade worker built for the grind of real-world factories.🤖🦾 With 56 degrees of freedom and fully rotational joints, Atlas moves with "superhuman" flexibility. It features human-scale hands with tactile sensing in every finger and palm, allowing for high-precision manipulation. Plus, its 360-degree vision system ensures it always knows who's approaching, keeping human-robot collaboration safe. ➤ Rugged Performance: Lifts up to 110 lbs (approx. 50kg) and operates in extreme temps from -4°F to 104°F (-20°C to 40°C). It’s even water-resistant for industrial wash-downs. ➤ Smart Endurance: Runs for 4 hours on dual swappable batteries. When power gets low, it autonomously heads back to the station to swap its own batteries and get right back to work. ➤ Cloud Intelligence: New tasks can be trained in less than a day. Thanks to the Orbit platform, once one Atlas learns a skill, it’s instantly shared across the entire fleet. The scale is massive: the entire 2026 supply is already spoken for by Hyundai and a new AI partner. Hyundai is also building a specialized "Robotics Metal Plant" and a new factory capable of churning out 30,000 Atlas units annually. We’re officially watching the birth of a humanoid workforce at scale. Source: Boston Dynamics & Hyundai Group
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Boston Dynamics just dropped the production-ready Atlas at CES 2026, and the specs are next-level. This isn't just a prototype; it's a rugged, enterprise-grade worker built for the grind of real-world factories.🤖🦾 With 56 degrees of freedom and fully rotational joints, Atlas moves with "superhuman" flexibility. It features human-scale hands with tactile sensing in every finger and palm, allowing for high-precision manipulation. Plus, its 360-degree vision system ensures it always knows who's approaching, keeping human-robot collaboration safe. ➤ Rugged Performance: Lifts up to 110 lbs (approx. 50kg) and operates in extreme temps from -4°F to 104°F (-20°C to 40°C). It’s even water-resistant for industrial wash-downs. ➤ Smart Endurance: Runs for 4 hours on dual swappable batteries. When power gets low, it autonomously heads back to the station to swap its own batteries and get right back to work. ➤ Cloud Intelligence: New tasks can be trained in less than a day. Thanks to the Orbit platform, once one Atlas learns a skill, it’s instantly shared across the entire fleet. The scale is massive: the entire 2026 supply is already spoken for by Hyundai and a new AI partner. Hyundai is also building a specialized "Robotics Metal Plant" and a new factory capable of churning out 30,000 Atlas units annually. We’re officially watching the birth of a humanoid workforce at scale. Source: Boston Dynamics & Hyundai Group

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105,157 Aufrufe • vor 1 Jahr

Wrapping up the year and coinciding with #NeurIPS2024, today at Meta FAIR we’re releasing a collection of nine new open source AI research artifacts across our work in developing agents, robustness & safety and new architectures. More in the video from Joelle Pineau. All of this work is part of FAIR’s continued work towards the goal of achieving advanced machine intelligence A few highlights from what we’re releasing today: • Meta Motivo: A first-of-its-kind behavioral foundation model that controls the movements of a virtual embodied humanoid agent to perform complex tasks. • Meta Video Seal: a state-of-the art comprehensive framework for neural video watermarking. • Meta Explore Theory-of-Mind: A program-guided adversarial data generation for theory of mind reasoning. • Meta Large Concept Models: A fundamentally different training paradigm for language modeling that decouples reasoning from language representation. And much more! We’re excited to share this work with the research community and look forward to seeing how it inspires new innovation across the field. Details and access to everything released by FAIR today ➡️
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AI at Meta

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