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1X has unveiled NEO Gamma, a major leap toward bringing humanoid robots into daily life ⦿ Walks more naturally, can squat to pick up objects ⦿ 10x better hardware reliability, 10 dB quieter ⦿ Improved object manipulation + a custom-built LLM for natural language interaction

The Humanoid Hub

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282,836 Aufrufe • vor 1 Jahr •via X (Twitter)

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The Humanoid Hubvor 1 Jahr

NEO Gamma has four beamforming microphones with echo cancellation for clear audio. And a three-speaker system: one in the chest for AI voice and two in the pelvis for bass, providing 360-degree sound effects.

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The Humanoid Hubvor 1 Jahr

1X trained a visual manipulation model capable of picking up a large variety of objects in different scenarios, including environments not seen during training. NEO Gamma leverages neural networks trained to predict teleoperated actions directly from raw sensor data.

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The Humanoid Hubvor 1 Jahr

The emotive earrings provide real-time visual feedback. NEO’s knit suit and shoes are 3D-printed from soft nylon using a Japanese Shima Seiki machine. The suit utilizes a whole-garment knitting process that allows the fabric to conform to NEO without affecting performance.

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1X's Blog Post:

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SecBriefs | Making Cybersecurity Simplevor 1 Jahr

🐍 Python is vital for cybersecurity, loved by pros for its ability to automate tasks and analyze threats efficiently! 📚 Ensure you grasp every term with the Cybersecurity Dictionary for Everyone. Master your craft! 🛡️ Available on Amazon:

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DabidarZvor 1 Jahr

dawg did the robot just take a seat 😭😭

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R2Svor 1 Jahr

This is way less creepy than the Westwood reject one another company showed hanging in midair yesterday.

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T Shirt n Jeansvor 1 Jahr

Every home needs one of these. $NVDA First time I've thought a humanoid moved like one of us. @The_AI_Investor @benitoz

Profilbild von SGK 🔥 🚩

SGK 🔥 🚩vor 1 Jahr

When they can shop, cook, clean then it’s game over….

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Antonio Zennarovor 1 Jahr

Impressive! The future is closer than we think.

Profilbild von November 🍂

November 🍂vor 1 Jahr

This is the only one I have seen that can give @Tesla_Optimus any competition. In 2026 they gonna be like smart phones. So I guess the only question is…you going iphone or android? 👀

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The World Model as NEO's Cognitive Core 1X has revealed a major AI development where the NEO humanoid can translate any natural language prompt into robotic action. It demonstrates this capability even for novel tasks, objects, and environments not found in its robot dataset. - the 1X World Model is trained on internet-scale human interaction videos and fine-tuned with robot data to ground its understanding in physics and in NEO's embodiment - from a simple voice or text prompt, the world model generates a visualization of future actions - a built-in inverse dynamics model then translates these into precise motor movements for NEO

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30,767 Aufrufe • vor 5 Monaten

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This is just crazy! Clone just introduced the Torso 2, a groundbreaking android that sets a new standard for robotics. This advanced prototype features 910 artificial muscle fibers, 164 degrees of freedom, and 182 sensors for precise feedback control, enabling fluid, human-like movement. With an actuated lumbar spine and a full set of abdominal muscles, Torso 2’s design mimics human anatomy for unprecedented natural motion. Encased in a sleek, white transparent skin, the Torso 2 utilizes pneumatic actuation to animate its muscles, though current off-the-shelf valves create some noise due to air exhaust. Clone plans to return to a quieter hydraulic design with custom liquid valves for future bipedal robots. The current temporary opaque visor will also be replaced with a one-way mirror for a more polished look. The Torso 2 demonstrates Clone’s hardware potential, running hand-coded sequences to control each muscle. With the promise of legs arriving soon, Clone Robotics is inching closer to creating silent, fully humanoid androids—marking a major leap toward lifelike robotic functionality.

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Another headless wheeled humanoid Shenzhen VLAI Robotics just released a pretty pragmatic humanoid robot called L1. I checked the price, starting at RMB 28,800($4,188). wheeled base + height-adjustable dual arms.Anyone can be built into a household assistant:fetching water, tidying up the kitchen and living room, doing laundry, and more. >Dual arms with 16 DOF, bionic-style structure, capable of relatively fine tasks like grasping and plug-in operations >Adjustable arm height (~70–160 cm), covering both tabletop and standing work >Differential-drive wheeled base, 100 kg payload, simple but well-suited for indoor use, supports working while moving >Open interfaces + teleoperation/data collection. L1 feels more like a development platform than a finished product Beyond household humanoids, developers can build specialized humanoid robots tailored to a wide range of scenarios,from scientific research and manufacturing to warehousing, retail, and caregiving... We’re already seeing quite a few robots in this form factor. While some are pushing toward full humanoids, this “less-human” approach might actually reach real-world deployment sooner. --- (Shenzhen truly is a home for humanoid robots,it seems as though a new humanoid robot company could spring into existence at any moment.）

Another headless wheeled humanoid Shenzhen VLAI Robotics just released a pretty pragmatic humanoid robot called L1. I checked the price, starting at RMB 28,800($4,188). wheeled base + height-adjustable dual arms.Anyone can be built into a household assistant:fetching water, tidying up the kitchen and living room, doing laundry, and more. >Dual arms with 16 DOF, bionic-style structure, capable of relatively fine tasks like grasping and plug-in operations >Adjustable arm height (~70–160 cm), covering both tabletop and standing work >Differential-drive wheeled base, 100 kg payload, simple but well-suited for indoor use, supports working while moving >Open interfaces + teleoperation/data collection. L1 feels more like a development platform than a finished product Beyond household humanoids, developers can build specialized humanoid robots tailored to a wide range of scenarios,from scientific research and manufacturing to warehousing, retail, and caregiving... We’re already seeing quite a few robots in this form factor. While some are pushing toward full humanoids, this “less-human” approach might actually reach real-world deployment sooner. --- (Shenzhen truly is a home for humanoid robots,it seems as though a new humanoid robot company could spring into existence at any moment.）

CyberRobo

38,538 Aufrufe • vor 3 Monaten

The power of generative models — now embodied in humanoids. Announcing DreamControl –– After a year-long research effort at General Robotics — we present a scalable framework for whole-body humanoid control that fuses diffusion priors with reinforcement learning to unlock real-world scene interaction. Diffusion + RL → natural whole-body skills on real robots. DreamControl enables humanoids to move beyond locomotion demos → performing natural, human-like skills such as –– Picking & lifting objects, Opening drawers & doors, Precise punching, kicking, and jumping, Bimanual manipulation tasks Our key innovation: a diffusion prior over human motion that guides RL, eliminating the need for massive teleoperation datasets, and producing motions that look human while transferring to real hardware. Trained purely in simulation, deployed on the Unitree G1 humanoid, DreamControl policies run in real time, bridging sim-to-real with unprecedented naturalness. We leverage a novel hybrid edge + cloud infrastructure that runs RL-trained policies on the edge backed by powerful AI models running in the cloud This is the next step in General Robotics’ journey toward general-purpose humanoid assistants that interact, adapt, and assist autonomously. Paper: Blog: 1/n

The power of generative models — now embodied in humanoids. Announcing DreamControl –– After a year-long research effort at General Robotics — we present a scalable framework for whole-body humanoid control that fuses diffusion priors with reinforcement learning to unlock real-world scene interaction. Diffusion + RL → natural whole-body skills on real robots. DreamControl enables humanoids to move beyond locomotion demos → performing natural, human-like skills such as –– Picking & lifting objects, Opening drawers & doors, Precise punching, kicking, and jumping, Bimanual manipulation tasks Our key innovation: a diffusion prior over human motion that guides RL, eliminating the need for massive teleoperation datasets, and producing motions that look human while transferring to real hardware. Trained purely in simulation, deployed on the Unitree G1 humanoid, DreamControl policies run in real time, bridging sim-to-real with unprecedented naturalness. We leverage a novel hybrid edge + cloud infrastructure that runs RL-trained policies on the edge backed by powerful AI models running in the cloud This is the next step in General Robotics’ journey toward general-purpose humanoid assistants that interact, adapt, and assist autonomously. Paper: Blog: 1/n

Ashish Kapoor

118,133 Aufrufe • vor 10 Monaten

Six months later, Vietnamese robotics company VinMotion has launched Motion 2, a general-purpose humanoid robot. Compared to Motion 1, Motion 2 features a more natural gait, faster walking speed, and greater agility, and can carry a load of 40kg. It can also recover from falls independently, and features autonomous charging and battery swapping. Currently, this humanoid robot is being tested in industrial logistics scenarios, with the goal of integrating it into business systems to achieve intelligent automation of tasks in factories and warehouses. It also integrates multi-language interaction capabilities (Vietnamese, English, etc.), laying the foundation for future service-oriented applications. BTW, VinMotion will showcase its progress at CES 2026.

Six months later, Vietnamese robotics company VinMotion has launched Motion 2, a general-purpose humanoid robot. Compared to Motion 1, Motion 2 features a more natural gait, faster walking speed, and greater agility, and can carry a load of 40kg. It can also recover from falls independently, and features autonomous charging and battery swapping. Currently, this humanoid robot is being tested in industrial logistics scenarios, with the goal of integrating it into business systems to achieve intelligent automation of tasks in factories and warehouses. It also integrates multi-language interaction capabilities (Vietnamese, English, etc.), laying the foundation for future service-oriented applications. BTW, VinMotion will showcase its progress at CES 2026.

CyberRobo

60,689 Aufrufe • vor 6 Monaten

Excited to introduce: Gamma 3.0 A generational leap for the world's most popular AI presentation tool. Two major changes: 1. Gamma Agent - with one prompt, you can make sweeping edits across the presentation. a. Say 'make it more visual' and it will scan each slide for data that could be visualized better. b. Upload a screenshot of rough notes you want to turn into a slide and it will synthesize the info, search the web to fill gaps, and make a table for you to match your brand or theme. 2. Gamma API Say you have a sales deck you want to reuse as a template. You could build a Zapier workflow to convert all of your meeting transcripts into personalized decks, automatically sent after every customer meeting. Bonus: We’re also launching Team & Business plans, bringing visual storytelling to organizations of all sizes, and a new Ultra plan for our power users looking to push the boundaries even further. PowerPoint has over a billion users, but the vast majority struggle to use it effectively. Why is that? Because making PPTs is still slow and tedious. We want Gamma to feel different. Our goal is to both lower the floor and raise the ceiling, so that anyone can get their ideas out there. Can’t wait to see what you make with 3.0.

Grant Lee

2,354,017 Aufrufe • vor 10 Monaten

📢 Announcing one of the most exciting works from us this year on **scalable robot policy evaluation through real-to-sim transfer**, moving toward a scalable evaluation engine with structured world models that capture the appearance, geometry, and dynamics of environments involving deformable objects. 🤖 Evaluation remains one of the biggest bottlenecks in building general-purpose robots. Today, robots are still evaluated only in the real world, which is **orders of magnitude slower** than the development of language agents. We propose a new framework where simulation performance **strongly correlates** with the real world (r > 0.9), even for deformable objects. The key difference from existing work lies in the correlation between simulation and reality: if a robot model performs better in the digital world, does it also perform better in the real world? This question has long made people hesitant about simulation-based evaluation — especially for deformable objects. We are changing that. Our pipeline achieves effective real-to-sim transfer, establishing **state-of-the-art correlation** between simulation and reality for deformable object manipulation. It provides a **scalable and reproducible evaluation engine** for robot learning. 🌐

📢 Announcing one of the most exciting works from us this year on scalable robot policy evaluation through real-to-sim transfer, moving toward a scalable evaluation engine with structured world models that capture the appearance, geometry, and dynamics of environments involving deformable objects. 🤖 Evaluation remains one of the biggest bottlenecks in building general-purpose robots. Today, robots are still evaluated only in the real world, which is orders of magnitude slower than the development of language agents. We propose a new framework where simulation performance strongly correlates with the real world (r > 0.9), even for deformable objects. The key difference from existing work lies in the correlation between simulation and reality: if a robot model performs better in the digital world, does it also perform better in the real world? This question has long made people hesitant about simulation-based evaluation — especially for deformable objects. We are changing that. Our pipeline achieves effective real-to-sim transfer, establishing state-of-the-art correlation between simulation and reality for deformable object manipulation. It provides a scalable and reproducible evaluation engine for robot learning. 🌐

Yunzhu Li

39,900 Aufrufe • vor 8 Monaten

A film with real aesthetic taste. 1X’s NEO humanoid robot factory in Hayward, California, spanning 58,000 square feet, has officially started operations. It’s highly vertically integrated: they manufacture their own motors (Revo2), battery packs, tendons, hands (22 degrees of freedom), structural components, and more,completely avoiding reliance on foreign supply chains. Founder Bernt said that 1X secured over 10,000 orders in just the first five days. The factory’s initial production target is 10,000 units per year, which means these orders are now being urgently manufactured. The goal is to reach 100,000 units in mass production by 2027. This ramp-up is driven by real market demand. 1X has already formed a strategic partnership with EQT, planning to deploy up to 10,000 NEO robots across EQT’s portfolio of over 300 companies between 2026 and 2030. So 1X already has at least 20,000 orders to fulfill,probably more. Honestly, if you don’t see news from them, it just means they’re heads-down busy delivering in the factory. First Figure, now 1X… California is turning into a real-life Westworld. Well, the pressure and expectations are back on Tesla again.

A film with real aesthetic taste. 1X’s NEO humanoid robot factory in Hayward, California, spanning 58,000 square feet, has officially started operations. It’s highly vertically integrated: they manufacture their own motors (Revo2), battery packs, tendons, hands (22 degrees of freedom), structural components, and more,completely avoiding reliance on foreign supply chains. Founder Bernt said that 1X secured over 10,000 orders in just the first five days. The factory’s initial production target is 10,000 units per year, which means these orders are now being urgently manufactured. The goal is to reach 100,000 units in mass production by 2027. This ramp-up is driven by real market demand. 1X has already formed a strategic partnership with EQT, planning to deploy up to 10,000 NEO robots across EQT’s portfolio of over 300 companies between 2026 and 2030. So 1X already has at least 20,000 orders to fulfill,probably more. Honestly, if you don’t see news from them, it just means they’re heads-down busy delivering in the factory. First Figure, now 1X… California is turning into a real-life Westworld. Well, the pressure and expectations are back on Tesla again.

CyberRobo

19,518 Aufrufe • vor 2 Monaten

Remember the humanoid robot used for hotel cleaning? Customers are already using it. Zerith Robotics, a startup from Hefei, has deployed multiple Zerith H1 robots in shopping malls, office buildings, and supermarkets in cities like Hefei Airport, Hefei Gas Building, and Shenzhen MixC, acting as cleaners and sales assistants. The Zerith H1 can autonomously perform cleaning tasks such as cleaning toilets, mopping floors, and wiping sinks. In supermarkets, it carries a shopping basket, autonomously picks up snacks, and automatically processes orders. From experimentation to trial use and real-world deployment, Zerith has built it into a commercial humanoid robot service solution, already used in over 20 landmark locations, and plans to expand to more cities like Hangzhou and Shanghai. From a commercial service reliability perspective, wheeled humanoid robots are being prioritized by customers. It is worth mentioning that Zerith was officially established in January of this year by a young team from the Tsinghua AI Robotics Laboratory. Last year, they successively launched Zerith Z1 (bipedal) and Zerith H1 (wheeled).

Remember the humanoid robot used for hotel cleaning? Customers are already using it. Zerith Robotics, a startup from Hefei, has deployed multiple Zerith H1 robots in shopping malls, office buildings, and supermarkets in cities like Hefei Airport, Hefei Gas Building, and Shenzhen MixC, acting as cleaners and sales assistants. The Zerith H1 can autonomously perform cleaning tasks such as cleaning toilets, mopping floors, and wiping sinks. In supermarkets, it carries a shopping basket, autonomously picks up snacks, and automatically processes orders. From experimentation to trial use and real-world deployment, Zerith has built it into a commercial humanoid robot service solution, already used in over 20 landmark locations, and plans to expand to more cities like Hangzhou and Shanghai. From a commercial service reliability perspective, wheeled humanoid robots are being prioritized by customers. It is worth mentioning that Zerith was officially established in January of this year by a young team from the Tsinghua AI Robotics Laboratory. Last year, they successively launched Zerith Z1 (bipedal) and Zerith H1 (wheeled).

CyberRobo

437,939 Aufrufe • vor 7 Monaten

NEWS: Figure has unveiling its 3rd generation humanoid robot. • Features a completely redesigned sensory suite and hand system. Wireless charging in feet. • Next-generation vision system engineered for high-frequency visuomotor control. Its new camera architecture delivers twice the frame rate, one-quarter the latency, and a 60% wider field of view per camera within a more compact form factor • Soft goods, wireless charging, improved audio system for voice reasoning, and battery safety advancements • "Engineered from the ground-up for high-volume manufacturing. In order to scale, we established a new supply chain and entirely new process for manufacturing humanoid robots at BotQ." • Lower manufacturing cost • Softer, more adaptive fingertips increase surface contact area, enabling more stable grasps across objects of varied shapes and sizes. Each fingertip sensor can detect forces as small as three grams of pressure - sensitive enough to register the weight of a paperclip resting on your finger. • Multi-density foam to protect against pinch points, and is covered in soft textiles rather than hard machined parts. 9% less mass and less volume than Figure 02 • 10 Gbps mmWave data offload capability, allowing the entire fleet to upload terabytes of data • Upgraded audio hardware system for better real time speech-to-speech. Its speaker is twice the size and nearly four times more powerful, while the microphone has been repositioned for improved performance and clarity. • Charging coils in the robot’s feet allow it to simply step onto a wireless stand and charge at 2 kW Figure: "BotQ is Figure’s dedicated manufacturing facility designed to scale robot production. BotQ’s first-generation manufacturing line will initially be capable of producing up to 12,000 humanoid robots per year, with the goal of producing a total of 100,000 robots over the next four years. Instead of relying on contract manufacturers, Figure brought production of its most critical systems in-house to maintain tight control over quality, iteration, and speed."

NEWS: Figure has unveiling its 3rd generation humanoid robot. • Features a completely redesigned sensory suite and hand system. Wireless charging in feet. • Next-generation vision system engineered for high-frequency visuomotor control. Its new camera architecture delivers twice the frame rate, one-quarter the latency, and a 60% wider field of view per camera within a more compact form factor • Soft goods, wireless charging, improved audio system for voice reasoning, and battery safety advancements • "Engineered from the ground-up for high-volume manufacturing. In order to scale, we established a new supply chain and entirely new process for manufacturing humanoid robots at BotQ." • Lower manufacturing cost • Softer, more adaptive fingertips increase surface contact area, enabling more stable grasps across objects of varied shapes and sizes. Each fingertip sensor can detect forces as small as three grams of pressure - sensitive enough to register the weight of a paperclip resting on your finger. • Multi-density foam to protect against pinch points, and is covered in soft textiles rather than hard machined parts. 9% less mass and less volume than Figure 02 • 10 Gbps mmWave data offload capability, allowing the entire fleet to upload terabytes of data • Upgraded audio hardware system for better real time speech-to-speech. Its speaker is twice the size and nearly four times more powerful, while the microphone has been repositioned for improved performance and clarity. • Charging coils in the robot’s feet allow it to simply step onto a wireless stand and charge at 2 kW Figure: "BotQ is Figure’s dedicated manufacturing facility designed to scale robot production. BotQ’s first-generation manufacturing line will initially be capable of producing up to 12,000 humanoid robots per year, with the goal of producing a total of 100,000 robots over the next four years. Instead of relying on contract manufacturers, Figure brought production of its most critical systems in-house to maintain tight control over quality, iteration, and speed."

Sawyer Merritt

140,241 Aufrufe • vor 9 Monaten

Figure announces Project Go-Big: Internet-Scale Humanoid Pretraining and Direct Human-to-Robot Transfer The company has achieved a new milestone for the Helix AI model: after training exclusively on egocentric human data, Figure robots can now navigate real-world spaces from natural language commands such as “Go water the plants.” This also enabled a unified Helix model that can output both manipulation and navigation commands to the continuous control system. This ties into the Brookfield partnership that they announced yesterday. Brookfield is a global asset manager overseeing $1 trillion in assets, including 100,000 residential units, 500M square feet of commercial office space, and 160M square feet of logistics space. Using human video capture in a variety of Brookfield environments, Figure will amass critical pretraining data at scale, allowing them to explore the full potential of internet-scale embodied datasets for locomotion and manipulation.

Figure announces Project Go-Big: Internet-Scale Humanoid Pretraining and Direct Human-to-Robot Transfer The company has achieved a new milestone for the Helix AI model: after training exclusively on egocentric human data, Figure robots can now navigate real-world spaces from natural language commands such as “Go water the plants.” This also enabled a unified Helix model that can output both manipulation and navigation commands to the continuous control system. This ties into the Brookfield partnership that they announced yesterday. Brookfield is a global asset manager overseeing $1 trillion in assets, including 100,000 residential units, 500M square feet of commercial office space, and 160M square feet of logistics space. Using human video capture in a variety of Brookfield environments, Figure will amass critical pretraining data at scale, allowing them to explore the full potential of internet-scale embodied datasets for locomotion and manipulation.

The Humanoid Hub

32,879 Aufrufe • vor 10 Monaten