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The difference between humanoid robots walking up stairs in 2026 vs 2015. Not enough credit given to Brett Adcock and team for that video. Left - Figure AI Robot (2026) Right - KAIST DRC HUBO Robot (2015) Both state-of-the-art robots of their time. Realtime playback speed.

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Figure CEO Brett Adcock shows off the "first car in the world built by a humanoid robot": "We work with BMW and last year for six months we deployed robots on the body shop factory line to build cars." "This is an X3 that the robot helped assemble." "I actually bought the first four."

Figure CEO Brett Adcock shows off the "first car in the world built by a humanoid robot": "We work with BMW and last year for six months we deployed robots on the body shop factory line to build cars." "This is an X3 that the robot helped assemble." "I actually bought the first four."

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Brett Adcock says the company that can solve general-purpose humanoid robots will be worth 200 times Apple, tens of trillions for sure. He asserts why humanoids will dominate and why other robot types won't be able to compare.

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BREAKING: First-Ever Full Tour of Figure's Humanoid HQ CEO Brett Adcock Exclusive look through every department on their San Jose campus: BotQ Factory, Testing, Design, Demos & more. Brett walks us through how Figure is built: - System integration lab: where robots are stress-tested with software faults & physical pushes - Helix AI: team floor where the controls & neural network engineers train the vision-language-action model that runs onboard every Figure robot - Reinforcement learning & stability testing: where Figure demos the Vulcan project — surviving a lost knee mid-task - Home: environment where Figure 03 autonomously tidies a living room using their Helix neural network (no teleoperation) - BotQ: manufacturing facility where heads, batteries, and limbs come together on the assembly line, including the custom-built battery line & end-of-line burn-in bays - Industrial design studio: (opened publicly for the first time) housing every generation of Figure robot ever built, including: Figure 01 with its Frankenstein forearms, Figure 02, & the sleek Figure 03 that recently appeared at the White House, plus the evolution of Figure's hands & feet Brett shares why he believes humanoid robots may achieve AGI before any other form factor, why Figure pivoted entirely from hand-coded controls to neural networks, & teases that Figure 04 will be their "iPhone 1 moment." This was so much fun! Big thank you to Brett & the team at Figure for opening the doors for us! Brett Adcock Figure 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Inside Figure’s Humanoid Campus (00:48) The humanoid factory (03:18) First humanoid guest at the White House (05:29) Controlling a robot with infinite movements (10:46) The truth about robot failures (13:00) Attacking a humanoid robot (testing responses) (16:12) Building a general purpose robot (23:05) The "Never Fall" protocol (28:56) Is the home robot teleoperated? (33:36) Leasing a 24/7 robot (35:01) Can a humanoid build a real car? (43:32) From flying robots to humanoids (45:59) The hidden path to physical AGI (56:21) Figure's secret design studio (01:00:44) Figure 4: The biggest leap in robotics (01:06:25) Training robots in spandex (01:10:26) Westworld, TIME Magazine, & Deadmau5

BREAKING: First-Ever Full Tour of Figure's Humanoid HQ CEO Brett Adcock Exclusive look through every department on their San Jose campus: BotQ Factory, Testing, Design, Demos & more. Brett walks us through how Figure is built: - System integration lab: where robots are stress-tested with software faults & physical pushes - Helix AI: team floor where the controls & neural network engineers train the vision-language-action model that runs onboard every Figure robot - Reinforcement learning & stability testing: where Figure demos the Vulcan project — surviving a lost knee mid-task - Home: environment where Figure 03 autonomously tidies a living room using their Helix neural network (no teleoperation) - BotQ: manufacturing facility where heads, batteries, and limbs come together on the assembly line, including the custom-built battery line & end-of-line burn-in bays - Industrial design studio: (opened publicly for the first time) housing every generation of Figure robot ever built, including: Figure 01 with its Frankenstein forearms, Figure 02, & the sleek Figure 03 that recently appeared at the White House, plus the evolution of Figure's hands & feet Brett shares why he believes humanoid robots may achieve AGI before any other form factor, why Figure pivoted entirely from hand-coded controls to neural networks, & teases that Figure 04 will be their "iPhone 1 moment." This was so much fun! Big thank you to Brett & the team at Figure for opening the doors for us! Brett Adcock Figure 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Inside Figure’s Humanoid Campus (00:48) The humanoid factory (03:18) First humanoid guest at the White House (05:29) Controlling a robot with infinite movements (10:46) The truth about robot failures (13:00) Attacking a humanoid robot (testing responses) (16:12) Building a general purpose robot (23:05) The "Never Fall" protocol (28:56) Is the home robot teleoperated? (33:36) Leasing a 24/7 robot (35:01) Can a humanoid build a real car? (43:32) From flying robots to humanoids (45:59) The hidden path to physical AGI (56:21) Figure's secret design studio (01:00:44) Figure 4: The biggest leap in robotics (01:06:25) Training robots in spandex (01:10:26) Westworld, TIME Magazine, & Deadmau5

Molly O’Shea

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SkildAI, which is developing a foundational AI model for robots, has released a new video of their humanoid robot walking over objects and exploring environments it had never seen before. The robot is using vision & adapts in real time. SkildAI: "From raw images and joint feedback, the model directly outputs low-level motor commands. This single neural network enables humanoid robots to seamlessly walk across flat ground, climb stairs, and step over obstacles without any planning, mapping, or manual switching between behaviors. For all of our testing in this video, we deployed the robot in each new environment without any prior planning or mapping. We took off the humanoid’s shoes so you can hear it.

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🎉🎉🎉Super excited to announce that we launched a joint lab of Embodied AI and Humanoid Robot between UniTree and BIGAI! I will direct the lab to foster the research in integrating the 3D scene understanding capability to Humanoid robot. Hope to see more generalist Humanoid robots in our home very soon😁

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The rate Chinese humanoid robots are evolving is faster than most people think. This is Unitree's robots at 2026 Chinese Spring Festival Gala Dozens of G1 robots, in the world’s 1st fully autonomous humanoid robot cluster Kung Fu show. Quick movement showcasing its motion limits. H2 showed up at both the Beijing main venue and the Yiwu sub-venue, dressed in the Monkey King’s heavy armor and riding a “somersault cloud” acted by B2W robot dogs.

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"This is the secret room that nobody’s allowed to come in." Figure CEO Brett Adcock walks through every generation, from Figure 01 → hints of Figure 04 We started in 2022, & the goal was, how do we get humanoid robots to our AI & software team as fast as possible?" Evolution highlights: → Cost ↓ ~90% (Figure 2 → Figure 3) → Built for speed, not cost (early generations) → Compute ↑, battery ↑, sensors ↑ each iteration → “Ozempic” effect — slimmer, lighter, same power → From fragile prototypes → scalable manufacturing “Figure 4 will be the biggest step up we’ve ever made by far.” Brett Adcock Figure

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UCR is now Noble Machines! The Sunnyvale, CA-based company builds general-purpose industrial robots for hazardous and physically demanding tasks. Designed for stairs, scaffolding, cluttered spaces and unstable terrain, the humanoid features a 27kg payload, 5-hour battery life and 0.8m/s walking speed. Within 18 months of inception, they shipped and deployed their first humanoid robot to an industrial customer.

UCR is now Noble Machines! The Sunnyvale, CA-based company builds general-purpose industrial robots for hazardous and physically demanding tasks. Designed for stairs, scaffolding, cluttered spaces and unstable terrain, the humanoid features a 27kg payload, 5-hour battery life and 0.8m/s walking speed. Within 18 months of inception, they shipped and deployed their first humanoid robot to an industrial customer.

The Humanoid Hub

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I spent the last week in Beijing, first at world robot conference, then at the world humanoid robot games. It's very clear that China are way ahead of anyone else in Humanoid robotics, in every field, both complete robots and component supply chains. I had a fantastic time. I put together this short clip from the robot games. Full video coming soon.

I spent the last week in Beijing, first at world robot conference, then at the world humanoid robot games. It's very clear that China are way ahead of anyone else in Humanoid robotics, in every field, both complete robots and component supply chains. I had a fantastic time. I put together this short clip from the robot games. Full video coming soon.

Barrett

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John: "Over in China, they’re doing robot Olympics. They’re doing marathons and all sorts of stuff." Figure founder Brett Adcock: “We look at the distribution of what humans do that is useful, and we [designed our humanoid] to do as much of that as possible.” “These things where we run marathons, or we do backflips, or we do karate moves—they’re not in the main part of the distribution. They don’t matter. And if you really want to size for those, you’re going to build a really expensive and unsafe robot that’s hard to manufacture.” “People want the $10,000 humanoid that can do general-purpose work. We want it to do laundry and dishes and be a companion. I want to ship robots at scale into the workforce to do logistics and healthcare, and build buildings and data centers.” "I don't need [our humanoid] to do backflips to do any of that work. I want robots building other robots."

John: "Over in China, they’re doing robot Olympics. They’re doing marathons and all sorts of stuff." Figure founder Brett Adcock: “We look at the distribution of what humans do that is useful, and we [designed our humanoid] to do as much of that as possible.” “These things where we run marathons, or we do backflips, or we do karate moves—they’re not in the main part of the distribution. They don’t matter. And if you really want to size for those, you’re going to build a really expensive and unsafe robot that’s hard to manufacture.” “People want the $10,000 humanoid that can do general-purpose work. We want it to do laundry and dishes and be a companion. I want to ship robots at scale into the workforce to do logistics and healthcare, and build buildings and data centers.” "I don't need [our humanoid] to do backflips to do any of that work. I want robots building other robots."

TBPN

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A humanoid robot just unloaded a dishwasher for 67 hours straight. By end of 2026, the same robot will perform surgery. That's not a prediction from a sci-fi writer. That's Brett Adcock. CEO of Figure AI. Said it on camera this month. Here's what makes this insane. Two years ago Figure's robot put a Keurig cup in a coffee maker. That was the breakthrough moment. The whole team celebrated. A coffee cup. Today that same robot runs 67 consecutive hours in a BMW factory. Grabbing packages. Finding barcodes. Placing them. One operation every second. Just a neural network that learned by watching. And Brett just said the hands that do that the same fingers, the same sensors, the same neural net are already capable of surgical precision from a hardware standpoint. "From a hardware perspective in 2026 we'll be able to do what surgeons can do." The AI just has to catch up to the hands. Two years ago: a coffee cup. This year: a factory. Next: the operating table. The robot didn't change, the learning did and it's not stopping.

A humanoid robot just unloaded a dishwasher for 67 hours straight. By end of 2026, the same robot will perform surgery. That's not a prediction from a sci-fi writer. That's Brett Adcock. CEO of Figure AI. Said it on camera this month. Here's what makes this insane. Two years ago Figure's robot put a Keurig cup in a coffee maker. That was the breakthrough moment. The whole team celebrated. A coffee cup. Today that same robot runs 67 consecutive hours in a BMW factory. Grabbing packages. Finding barcodes. Placing them. One operation every second. Just a neural network that learned by watching. And Brett just said the hands that do that the same fingers, the same sensors, the same neural net are already capable of surgical precision from a hardware standpoint. "From a hardware perspective in 2026 we'll be able to do what surgeons can do." The AI just has to catch up to the hands. Two years ago: a coffee cup. This year: a factory. Next: the operating table. The robot didn't change, the learning did and it's not stopping.

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