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Pi Ventures Joins Hack VC To Back AI Robotics Startup On Base Axis Robotics (Axis Robotics) has raised a $12 million seed round led by Hack VC, with participation from Pi Network (Pi Network) Ventures, Nomad Capital, 10K Ventures, and other angel investors. The company is building a data... show more

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51,740 次观看 • 1 个月前 •via X (Twitter)

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Announcing our commercial partnership with Booster Robotics Booster builds humanoid robot hardware, OS, and developer tools to make humanoid robots more affordable, reliable, and practical. The partnership centers on using simulation to multiply the value of real-robot data—expanding teleoperation demonstrations into scalable training data across diverse tasks and scenes. This joint effort powers sim-real co-training and foundation-model development, accelerating progress from hardware iteration to deployable robot policies. Together, we're building simulation‑powered data infrastructure for Physical AI — making scalable training data accessible to model developers and the broader robotics ecosystem.

Announcing our commercial partnership with Booster Robotics Booster builds humanoid robot hardware, OS, and developer tools to make humanoid robots more affordable, reliable, and practical. The partnership centers on using simulation to multiply the value of real-robot data—expanding teleoperation demonstrations into scalable training data across diverse tasks and scenes. This joint effort powers sim-real co-training and foundation-model development, accelerating progress from hardware iteration to deployable robot policies. Together, we're building simulation‑powered data infrastructure for Physical AI — making scalable training data accessible to model developers and the broader robotics ecosystem.

Axis Robotics

70,876 次观看 • 1 个月前

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✌️📷

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✌️📷

Axis Robotics

28,096 次观看 • 8 个月前

Morpho Association has raised $175M to build the open credit network for the world. Co-led by Paradigm, a16z crypto, Ribbit Capital with strategic participation from Apollo Global Management, VanEck, Circle Ventures, and Ledger Cathay Innovation. The round also included participation from Variant, Wintermute Ventures, Prelude, IOSG Ventures, HashKey Capital, SBIホールディングス（株）, Bpifrance, Mirana Ventures, Bam Azizi, NJJ Capital and 10+ other strategic partners. The funding will help accelerate Morpho's position as the foundation for onchain credit.

Morpho Association has raised $175M to build the open credit network for the world. Co-led by Paradigm, a16z crypto, Ribbit Capital with strategic participation from Apollo Global Management, VanEck, Circle Ventures, and Ledger Cathay Innovation. The round also included participation from Variant, Wintermute Ventures, Prelude, IOSG Ventures, HashKey Capital, SBIホールディングス（株）, Bpifrance, Mirana Ventures, Bam Azizi, NJJ Capital and 10+ other strategic partners. The funding will help accelerate Morpho's position as the foundation for onchain credit.

Morpho 🦋

847,077 次观看 • 3 个月前

If you’ve been ignoring Axis Robotics because it looks like another random points farm, read this. In the last 48 hours, Unitree said robotics is approaching its "ChatGPT moment", while the chairman of ACE Robotics believes it could happen by the end of 2027. But for robots to reach that level, they need a crazy amount of training data. That’s exactly what Axis is building. You control simulated robots directly from your browser, complete simple tasks and earn points. Those movements also help create data that can be used to train real robots. And this isn’t some tiny experiment anymore: - $12M raised - 123K+ contributors - 3M+ robot trajectories - Community data already used to train a real robot So yeah, we’re basically farming a potential airdrop while teaching our future robot servants how to work 😂 If you haven’t started yet, it’s completely free. You only need a tiny amount of gas on Base to sign your completed tasks. ✅ Start farming Axis points: Important: Sign every completed task from the History page, otherwise you won’t receive the points.

If you’ve been ignoring Axis Robotics because it looks like another random points farm, read this. In the last 48 hours, Unitree said robotics is approaching its "ChatGPT moment", while the chairman of ACE Robotics believes it could happen by the end of 2027. But for robots to reach that level, they need a crazy amount of training data. That’s exactly what Axis is building. You control simulated robots directly from your browser, complete simple tasks and earn points. Those movements also help create data that can be used to train real robots. And this isn’t some tiny experiment anymore: - $12M raised - 123K+ contributors - 3M+ robot trajectories - Community data already used to train a real robot So yeah, we’re basically farming a potential airdrop while teaching our future robot servants how to work 😂 If you haven’t started yet, it’s completely free. You only need a tiny amount of gas on Base to sign your completed tasks. ✅ Start farming Axis points: Important: Sign every completed task from the History page, otherwise you won’t receive the points.

Pranjal Bora 🧭

29,321 次观看 • 1 个月前

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.

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.

Pierre-Alexandre Balland

186,094 次观看 • 9 个月前

Pi Network Opens New Developer Tools As App Building Expands Pi Network (Pi Network) has introduced new capabilities for developers building applications on its blockchain. The update adds local storage, app specific staking data, and file and video sharing. Pi has also released new developer documentation covering technical resources in one place. The documentation is designed to guide developers from getting started through building and launching applications. Pi says stronger developer tooling is important for expanding the network’s utility through applications.

Pi Network Opens New Developer Tools As App Building Expands Pi Network (Pi Network) has introduced new capabilities for developers building applications on its blockchain. The update adds local storage, app specific staking data, and file and video sharing. Pi has also released new developer documentation covering technical resources in one place. The documentation is designed to guide developers from getting started through building and launching applications. Pi says stronger developer tooling is important for expanding the network’s utility through applications.

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33,574 次观看 • 16 天前

🚨 BREAKING: Walden Robotics has just come out of stealth with $300 million in funding and a $1.1 billion valuation. Another unicorn in the robotics space. 🦄 Just 6 months after incubation. The company was spun out of Toyota's robotics research lab by co-founder Russ Tedrake, a former Toyota Research Institute executive and MIT professor who taught a course on robotic legs. The seed round was co-led by Deviation Capital and Toyota, with participation from: NVIDIA, Boeing, Samsung Ventures, CoreWeave Ventures and AE Ventures. The robot is already working. A pilot is live at a North American Toyota factory where a Walden humanoid is pulling eight-hour shifts alongside human workers, loading and unloading car parts, cleaning machinery, kitting for assembly. A shift. Every day. Walden builds its own hardware, software and AI models, designed to continuously learn and improve in real production environments. Tedrake's words on the opportunity are worth noting: "Everyone recognises the magnitude of the opportunity and the technology feels ready, but success is not assured. You have to think through the business case, the unit economics, and how to marry the best of manufacturing and logistics with disruptive AI technology." Rare honesty in a space full of hype. The race to own that market is accelerating every single week. 🤖 Great story by Bloomberg here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

🚨 BREAKING: Walden Robotics has just come out of stealth with $300 million in funding and a $1.1 billion valuation. Another unicorn in the robotics space. 🦄 Just 6 months after incubation. The company was spun out of Toyota's robotics research lab by co-founder Russ Tedrake, a former Toyota Research Institute executive and MIT professor who taught a course on robotic legs. The seed round was co-led by Deviation Capital and Toyota, with participation from: NVIDIA, Boeing, Samsung Ventures, CoreWeave Ventures and AE Ventures. The robot is already working. A pilot is live at a North American Toyota factory where a Walden humanoid is pulling eight-hour shifts alongside human workers, loading and unloading car parts, cleaning machinery, kitting for assembly. A shift. Every day. Walden builds its own hardware, software and AI models, designed to continuously learn and improve in real production environments. Tedrake's words on the opportunity are worth noting: "Everyone recognises the magnitude of the opportunity and the technology feels ready, but success is not assured. You have to think through the business case, the unit economics, and how to marry the best of manufacturing and logistics with disruptive AI technology." Rare honesty in a space full of hype. The race to own that market is accelerating every single week. 🤖 Great story by Bloomberg here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

76,328 次观看 • 2 个月前

Pi Ventures-Backed OpenMind Opens Waitlist For Humanoid Robot Control Pi Network (Pi Network) Ventures backed OpenMind (OpenMind) has opened the waitlist for Instabody, a platform that lets users remotely control a real humanoid robot. The company said users can see the world through the robot's eyes and directly control its movements. It believes giving people the controls will help shape how robots evolve. OpenMind previously launched a robot app store built on its OM1 operating system, allowing developers to add new skills to humanoid and quadruped robots.

Pi Ventures-Backed OpenMind Opens Waitlist For Humanoid Robot Control Pi Network (Pi Network) Ventures backed OpenMind (OpenMind) has opened the waitlist for Instabody, a platform that lets users remotely control a real humanoid robot. The company said users can see the world through the robot's eyes and directly control its movements. It believes giving people the controls will help shape how robots evolve. OpenMind previously launched a robot app store built on its OM1 operating system, allowing developers to add new skills to humanoid and quadruped robots.

BSCN

56,147 次观看 • 2 个月前

Walden Robotics came out of stealth with a $300M seed at a $1.1B valuation. A Toyota Research Institute spinout (founded January), its thesis: the hard problem in robotics is now deployment, not research. So it's putting general-purpose humanoids to work on the repetitive tasks workers find burdensome. They're already running in a pilot at a North American Toyota plant: its robot works 8-hour shifts alongside human teams, loading and unloading car parts, cleaning machinery, and kitting for assembly. Team: led by CEO Russ Tedrake (MIT professor, ex-SVP of Large Behavior Models at TRI), with a founding group drawn largely from TRI's robotics team plus deployment and operations veterans. Full-stack: builds its own hardware, software, and AI models Backers: Toyota, NVIDIA, Boeing, Samsung Ventures, CoreWeave Ventures, Deviation Capital Cambridge, MA based

Walden Robotics came out of stealth with a $300M seed at a $1.1B valuation. A Toyota Research Institute spinout (founded January), its thesis: the hard problem in robotics is now deployment, not research. So it's putting general-purpose humanoids to work on the repetitive tasks workers find burdensome. They're already running in a pilot at a North American Toyota plant: its robot works 8-hour shifts alongside human teams, loading and unloading car parts, cleaning machinery, and kitting for assembly. Team: led by CEO Russ Tedrake (MIT professor, ex-SVP of Large Behavior Models at TRI), with a founding group drawn largely from TRI's robotics team plus deployment and operations veterans. Full-stack: builds its own hardware, software, and AI models Backers: Toyota, NVIDIA, Boeing, Samsung Ventures, CoreWeave Ventures, Deviation Capital Cambridge, MA based

The Humanoid Hub

40,594 次观看 • 2 个月前

Building robots that can effectively operate alongside human workers is difficult. 🛠️ Advances in open-source physics, open foundation models, and frameworks are helping accelerate physical #AI deployment. ✔️ Newton Physics Engine, an open-source GPU-powered simulation built on OpenUSD, speeds up robot learning for advanced manipulation and mobility. ✔️ NVIDIA Cosmos Reason, an open reasoning vision language model, gives robots the ability to think like humans using prior knowledge, common sense and physics ✔️NVIDIA Isaac GR00T N1.6, an open robot foundation model, enables humanoids to understand ambiguous instructions Leading robotics developers including Agility Robotics, Lightwheel, Mentee Robotics, UniversalRobots, and Wandelbots are adopting simulation technologies and libraries to accelerate physical AI development and deployment. Omniverse Ambassador Dylan Tobin built an AI chatbot trained on Isaac Sim workflows, helping devs navigate Omniverse faster. Read the full blog 👉

Building robots that can effectively operate alongside human workers is difficult. 🛠️ Advances in open-source physics, open foundation models, and frameworks are helping accelerate physical #AI deployment. ✔️ Newton Physics Engine, an open-source GPU-powered simulation built on OpenUSD, speeds up robot learning for advanced manipulation and mobility. ✔️ NVIDIA Cosmos Reason, an open reasoning vision language model, gives robots the ability to think like humans using prior knowledge, common sense and physics ✔️NVIDIA Isaac GR00T N1.6, an open robot foundation model, enables humanoids to understand ambiguous instructions Leading robotics developers including Agility Robotics, Lightwheel, Mentee Robotics, UniversalRobots, and Wandelbots are adopting simulation technologies and libraries to accelerate physical AI development and deployment. Omniverse Ambassador Dylan Tobin built an AI chatbot trained on Isaac Sim workflows, helping devs navigate Omniverse faster. Read the full blog 👉

NVIDIA

48,500 次观看 • 11 个月前

Base Batches 003 is officially here Building the future onchain? Join one of our three tracks: 💡 Startup 🎓 Student 🤖 Robotics by Virtuals Protocol Get expert mentorship, up to $50k in funding, and a stage at Demo Day in San Francisco 🧵

Base Batches 003 is officially here Building the future onchain? Join one of our three tracks: 💡 Startup 🎓 Student 🤖 Robotics by Virtuals Protocol Get expert mentorship, up to $50k in funding, and a stage at Demo Day in San Francisco 🧵

Base

460,668 次观看 • 7 个月前

To be honest. Evaluation in robotics has always been a challenge unlike in vision or language: not enough DATA, not enough TASKS, and too much reliance on FIXED benchmarks. PlayGround pushes us beyond static datasets and predefined tasks, moving robotics evaluation into the era of dynamic evaluation in structure physical domain one at a time. *Can't wait to see how the community scale on this!

To be honest. Evaluation in robotics has always been a challenge unlike in vision or language: not enough DATA, not enough TASKS, and too much reliance on FIXED benchmarks. PlayGround pushes us beyond static datasets and predefined tasks, moving robotics evaluation into the era of dynamic evaluation in structure physical domain one at a time. *Can't wait to see how the community scale on this!

Jiafei Duan

10,530 次观看 • 5 个月前

We’ve raised $2.3M in pre-seed funding to build Bleap—a bank on the blockchain! 🚀 The round was led by Ethereal Ventures, with participation from Maven 11, Alliance DAO, Robot Ventures, Credibly Neutral , and other amazing investors who share our vision of a better financial system. Check out the coverage from @TheBlock__ : Bleap is now in beta for EEA users! 💳

We’ve raised $2.3M in pre-seed funding to build Bleap—a bank on the blockchain! 🚀 The round was led by Ethereal Ventures, with participation from Maven 11, Alliance DAO, Robot Ventures, Credibly Neutral , and other amazing investors who share our vision of a better financial system. Check out the coverage from @TheBlock__ : Bleap is now in beta for EEA users! 💳

Bleap

64,335 次观看 • 1 年前

Pi Network Rolls Out New Test Token Ahead Of Pi2Day Pi Network (Pi Network) $PI says it has updated its Launchpad model after feedback from more than 478,000 participants in its first Testnet token launch. A new Testnet token called SLICE is now live. SLICE will remain a Testnet asset and will not migrate to Mainnet. According to the team, participation will remain open until Pi2Day on June 28. The initiative aims to improve participation mechanics and user experience ahead of future ecosystem launches.

Pi Network Rolls Out New Test Token Ahead Of Pi2Day Pi Network (Pi Network) $PI says it has updated its Launchpad model after feedback from more than 478,000 participants in its first Testnet token launch. A new Testnet token called SLICE is now live. SLICE will remain a Testnet asset and will not migrate to Mainnet. According to the team, participation will remain open until Pi2Day on June 28. The initiative aims to improve participation mechanics and user experience ahead of future ecosystem launches.

BSCN

37,471 次观看 • 3 个月前

MAKING AXIS TASKS FEEL EASY 👀🤖 I made a quick video showing how to complete an Axis Robotics task step by step. The task gives you a clear goal, steps, controls and camera views to guide you. In this one, the goal is simple, Open the trash bin, pick up the onion, and place it inside. 🧅 Just follow the instructions, control the robot arm and complete the task. What I like is that even beginners can understand what they need to do. But the interesting part is what happens with these interactions after we complete them. Each completed task can contribute valuable robot training data, helping Physical Ai systems learn how to handle different objects and environments. Small tasks from the community can become useful data for teaching robots how to interact with the real world. That’s what makes Axis interesting to me.

MAKING AXIS TASKS FEEL EASY 👀🤖 I made a quick video showing how to complete an Axis Robotics task step by step. The task gives you a clear goal, steps, controls and camera views to guide you. In this one, the goal is simple, Open the trash bin, pick up the onion, and place it inside. 🧅 Just follow the instructions, control the robot arm and complete the task. What I like is that even beginners can understand what they need to do. But the interesting part is what happens with these interactions after we complete them. Each completed task can contribute valuable robot training data, helping Physical Ai systems learn how to handle different objects and environments. Small tasks from the community can become useful data for teaching robots how to interact with the real world. That’s what makes Axis interesting to me.

SufianXFN

14,419 次观看 • 17 天前

Meet #HillbotAlpha, the first fully autonomous mobile manipulation robot trained using sim-to-real technology. Designed in Hillbot’s San Diego headquarters, Hillbot Alpha represents the potential of data synthesis via simulation in robotics. Through a robust strategy that combines a small sample of real-world data with synthetic data, Hillbot Alpha can effectively adapt to evolving task requirements and environments while working safely beside humans. #Hillbot #AGI #EmbodiedAI #AI #Sim2Real #ArtificialIntelligence #Simulation #Simtoreal

Meet #HillbotAlpha, the first fully autonomous mobile manipulation robot trained using sim-to-real technology. Designed in Hillbot’s San Diego headquarters, Hillbot Alpha represents the potential of data synthesis via simulation in robotics. Through a robust strategy that combines a small sample of real-world data with synthetic data, Hillbot Alpha can effectively adapt to evolving task requirements and environments while working safely beside humans. #Hillbot #AGI #EmbodiedAI #AI #Sim2Real #ArtificialIntelligence #Simulation #Simtoreal

Hao Su

14,096 次观看 • 1 年前

SoftBank is reportedly in early talks to back a massive $800M funding round for Munich-based Agile Robots, with a contribution of over $ 300M. The move signals a major escalation in Masayoshi Son's "brains and bodies" strategy to dominate physical AI infrastructure. Why this matters for the robotics industry: 🤖 The Flywheel: Agile Robots isn't just hardware. Founded by German Aerospace Center (DLR) alumni, they vertically integrate AI software with humanoids, warehouse automation, and robotic arms. 🧠 Frontier Ecosystems: Agile ONE was recently named a founding member of NVIDIA’s Cosmos Coalition and is deep in a research partnership with Google DeepMind to bring Gemini to the factory floor. 💰 The Capital Race: Global investment in robotics more than tripled in 2025. SoftBank is pairing this hardware play with its recent $1.4B investment in Skild AI and its $5.4B acquisition of ABB Robotics. While both companies have declined to comment on the early-stage talks, the deal highlights a furious shift toward deploying foundational AI in physical manufacturing and logistics.

SoftBank is reportedly in early talks to back a massive $800M funding round for Munich-based Agile Robots, with a contribution of over $ 300M. The move signals a major escalation in Masayoshi Son's "brains and bodies" strategy to dominate physical AI infrastructure. Why this matters for the robotics industry: 🤖 The Flywheel: Agile Robots isn't just hardware. Founded by German Aerospace Center (DLR) alumni, they vertically integrate AI software with humanoids, warehouse automation, and robotic arms. 🧠 Frontier Ecosystems: Agile ONE was recently named a founding member of NVIDIA’s Cosmos Coalition and is deep in a research partnership with Google DeepMind to bring Gemini to the factory floor. 💰 The Capital Race: Global investment in robotics more than tripled in 2025. SoftBank is pairing this hardware play with its recent $1.4B investment in Skild AI and its $5.4B acquisition of ABB Robotics. While both companies have declined to comment on the early-stage talks, the deal highlights a furious shift toward deploying foundational AI in physical manufacturing and logistics.

Humanoids daily

16,714 次观看 • 3 个月前

Thanks to Mr. Woody Lightyear from Africa Nigeria and Dr. Gharbi Ahmed from Arabic Tunisia extraordinary leadership and hardworking! Also thanks to Chinese community leaders, merchants, pioneers inspiration and real barter huge amount transactions to support GCV ! Thanks to the global community leaders and pioneers support! Now GCV has been acknowledged by most Pi Network global communities and gained a lot of support! Newsway Founded in 2014 by T.I UKENDE, It states:" NEWSWAY can offer you Verifiable information on Blockchain technology and digital assets. We now serve customers all over the world, and are thrilled that we’re able to turn our passion into a well recognized website." The following is today's article passed all over the world Pi Network community from US expertise freelancer Ms. Grace Owell. Thanks to her excellent outstanding article which can see her sharpness and insight to the crypto currency world and understand the Pi Network mission very well!👍👍👍 Pi Network’s Global Consensus Value (GCV) has been making headlines lately, thanks to the initiators who have proposed an amazing price to the Pi community. The supporters of Global Consensus GCV Price have been praised for their efforts in bringing this proposal forward. The GCV builders have worked hard to come up with a fair and reasonable price for the Pi community, and their hard work has paid off. The proposed GCV price of $314159 has received overwhelming support from the community and has been hailed as a significant milestone for the Pi Network. The GCV price proposal is an important development for the Pi Network, as it establishes a standard value for the Pi currency. This value will help the Pi community to measure the worth of their holdings and make informed decisions about buying and selling Pi. The Pi Network’s Global Consensus Value (GCV) is a revolutionary pricing mechanism that is designed to be transparent, fair, and reflective of the true value of Pi cryptocurrency. The GCV price takes into account various key metrics, including the mathematical value for π, user adoption, network usage, and other relevant factors, to determine a fair value for Pi. By using a comprehensive and transparent pricing mechanism, the Pi Network aims to build confidence among users and investors, while also promoting greater adoption of the Pi cryptocurrency. Importance of the Global Consensus Value (GCV) Price Here are some of the key importance of the GCV Price: Standardized Value: The GCV price establishes a standardized value for the Pi cryptocurrency, which helps users to measure the worth of their holdings and make informed decisions about buying and selling Pi. Fairness and Transparency: The GCV price mechanism is designed to be fair and transparent, taking into account various metrics such as user adoption, network usage, and market demand. This builds confidence in the Pi Network among users, investors, and regulators. Increased Adoption: A trustworthy and reliable GCV price can attract more users and investors to the Pi Network, leading to greater adoption of the Pi cryptocurrency and increased usage of the network. Long-Term Stability: A stable and reliable GCV price can help to build a more stable and long-term ecosystem for the Pi Network, ensuring its success and growth over the long run. Integration with Wider Financial Markets: A standardized and transparent GCV price can help the Pi cryptocurrency to be more widely accepted and integrated into the wider financial markets, providing greater opportunities for its use and adoption. The Pi community has responded positively to the GCV price proposal, with many users expressing their support for the proposed Pi Network remains strong and stable. The Global Consensus Value is an important step forward for the Pi community, and it is a sign of the network’s growing maturity and stability. Pi Network #PIGCV #PiNetwork

Thanks to Mr. Woody Lightyear from Africa Nigeria and Dr. Gharbi Ahmed from Arabic Tunisia extraordinary leadership and hardworking! Also thanks to Chinese community leaders, merchants, pioneers inspiration and real barter huge amount transactions to support GCV ! Thanks to the global community leaders and pioneers support! Now GCV has been acknowledged by most Pi Network global communities and gained a lot of support! Newsway Founded in 2014 by T.I UKENDE, It states:" NEWSWAY can offer you Verifiable information on Blockchain technology and digital assets. We now serve customers all over the world, and are thrilled that we’re able to turn our passion into a well recognized website." The following is today's article passed all over the world Pi Network community from US expertise freelancer Ms. Grace Owell. Thanks to her excellent outstanding article which can see her sharpness and insight to the crypto currency world and understand the Pi Network mission very well!👍👍👍 Pi Network’s Global Consensus Value (GCV) has been making headlines lately, thanks to the initiators who have proposed an amazing price to the Pi community. The supporters of Global Consensus GCV Price have been praised for their efforts in bringing this proposal forward. The GCV builders have worked hard to come up with a fair and reasonable price for the Pi community, and their hard work has paid off. The proposed GCV price of $314159 has received overwhelming support from the community and has been hailed as a significant milestone for the Pi Network. The GCV price proposal is an important development for the Pi Network, as it establishes a standard value for the Pi currency. This value will help the Pi community to measure the worth of their holdings and make informed decisions about buying and selling Pi. The Pi Network’s Global Consensus Value (GCV) is a revolutionary pricing mechanism that is designed to be transparent, fair, and reflective of the true value of Pi cryptocurrency. The GCV price takes into account various key metrics, including the mathematical value for π, user adoption, network usage, and other relevant factors, to determine a fair value for Pi. By using a comprehensive and transparent pricing mechanism, the Pi Network aims to build confidence among users and investors, while also promoting greater adoption of the Pi cryptocurrency. Importance of the Global Consensus Value (GCV) Price Here are some of the key importance of the GCV Price: Standardized Value: The GCV price establishes a standardized value for the Pi cryptocurrency, which helps users to measure the worth of their holdings and make informed decisions about buying and selling Pi. Fairness and Transparency: The GCV price mechanism is designed to be fair and transparent, taking into account various metrics such as user adoption, network usage, and market demand. This builds confidence in the Pi Network among users, investors, and regulators. Increased Adoption: A trustworthy and reliable GCV price can attract more users and investors to the Pi Network, leading to greater adoption of the Pi cryptocurrency and increased usage of the network. Long-Term Stability: A stable and reliable GCV price can help to build a more stable and long-term ecosystem for the Pi Network, ensuring its success and growth over the long run. Integration with Wider Financial Markets: A standardized and transparent GCV price can help the Pi cryptocurrency to be more widely accepted and integrated into the wider financial markets, providing greater opportunities for its use and adoption. The Pi community has responded positively to the GCV price proposal, with many users expressing their support for the proposed Pi Network remains strong and stable. The Global Consensus Value is an important step forward for the Pi community, and it is a sign of the network’s growing maturity and stability. Pi Network #PIGCV #PiNetwork

Doris Yin 东方紫莲🪷

28,922 次观看 • 3 年前

In a masterclass at Sequoia Capital AI Ascent, Jim Fan laid out the "Great Parallel": how robotics is speedrunning the LLM playbook. 🔹 VLA → WAM: Moving from language-heavy models to "World Action Models" that dream in physics. 🔹 Teleop → EgoScale: Replacing manual data with human egocentric video. 🔹 Simulation 2.0: Using neural simulators like DreamDojo to turn compute into environments. "Our generation was born too late to explore the earth and too early to explore the stars. But we are born just in time to solve robotics." He believes that robots will pass the Physical Turing Test in the coming 2–3 years.

In a masterclass at Sequoia Capital AI Ascent, Jim Fan laid out the "Great Parallel": how robotics is speedrunning the LLM playbook. 🔹 VLA → WAM: Moving from language-heavy models to "World Action Models" that dream in physics. 🔹 Teleop → EgoScale: Replacing manual data with human egocentric video. 🔹 Simulation 2.0: Using neural simulators like DreamDojo to turn compute into environments. "Our generation was born too late to explore the earth and too early to explore the stars. But we are born just in time to solve robotics." He believes that robots will pass the Physical Turing Test in the coming 2–3 years.

Humanoids daily

12,123 次观看 • 4 个月前