Our humanoid robot XPENG IRON just completed a full... sales shift at XPENG showroom in Shenzhen, effortlessly guiding customers through the entire G7 experience. From serving refreshments to explaining every technical detail. This is smart mobility retail reinvented! $XPEVshow more

Xiaopeng He
48,048 次观看 • 1 年前
The same day U.S. humanoid startup KScale shuts down,... Let's deal, a major EV maker, released their new generation humanoid robot IRON It's mind-blowing: - Targeted mass production: 2026 - 3x XPeng home made Turning AI chip with 2250 TOPS - Human-like spine with full cover soft skin - Powered by Physical World Large Model - Early user pilot in industrial areas Is XPeng going to be the next TSLA + NVDA? Potentially time to long NYSE: XPEV.show more

Tiezhen WANG
173,628 次观看 • 8 个月前
🦿Xpeng showed a humanoid robot called IRON whose movement... looked so human that the team literally cut it open on stage to prove it is a machine. IRON uses a bionic body with a flexible spine, synthetic muscles, and soft skin so joints and torso can twist smoothly like a person. The system has 82 degrees of freedom in total with 22 in each hand for fine finger control. Compute runs on 3 custom AI chips rated at 2,250 TOPS (Tera Operations Per Second), which is far above typical laptop neural accelerators, so it can handle vision and motion planning on the robot. The AI stack focuses on turning camera input directly into body movement without routing through text, which reduces lag and makes the gait look natural. Xpeng staged the cut-open demo at AI Day in Guangzhou this week, addressing rumors that a performer was inside by exposing internal actuators, wiring, and cooling. Company materials also mention a large physical-world model and a multi-brain control setup for dialogue, perception, and locomotion, hinting at a path from stage demos to service work. Production is targeted for 2026, so near-term tasks will be limited, but the hardware shows a serious step toward human-scale manipulation.show more

Rohan Paul
3,802,402 次观看 • 8 个月前
Check out the new interactive humanoid robot, Yogi, introduced... by Cartwheel Robotics. Yogi is designed as a companion for everyday life, offering help and companionship in settings from hospitals to living rooms. It features soft silicone skin for safe touch, precision actuators for predictable movement, and simple, natural interaction. The robot continuously learns new abilities for greater utility. Cartwheel's founder, Scott LaValley, has a deep background, having developed over four humanoid systems. His expertise includes nearly a decade developing the Atlas robot at Boston Dynamics, followed by five years at Disney leading the team that created the Groot robot. This extensive, hands-on experience is key to Cartwheel Robotics' innovations.show more

RoboHub🤖
15,243 次观看 • 9 个月前
two weeks in Shenzhen and it’s an been eye-opening... experience im here for a month with MIT SCALE and the speed of hardware production is easily 10× faster than sf. from product concept to production, everything is streamlined within a single building. Nearly every component you could need is available immediately thru Taobao(e bay of China) or HQB and there are 24/7 makerspaces equipped to build anything from micrometer-scale PCBs to full assembly-line robots. What’s striking is that Shenzhen already has much of the hardware and robotics that startups in sf are still trying to build except these systems have been deployed and operating for years. The manufacturing capability, supply chain depth, and technical execution here are world-class. That said, one gap keeps surfacing: brand design, storytelling, and cohesive user experience. Software polish, UX consistency, and attention to detail often feel secondary. Take this with a grain of salt, but it increasingly feels like the company that pairs Shenzhen-level hardware velocity with strong design sensibility and UX-first thinking will dominate the market.show more

Miyu Horiuchi
149,403 次观看 • 6 个月前
AgiBOT’s humanoid robot A2 just achieved a Guinness World... Record. It walked 106KM from Suzhou’s Jinji Lake all the way to the Shanghai Bund, earning the title of “Longest Distance Walked by a Humanoid Robot.” A2 ran non-stop for 3 days and 3 nights, powered by hot-swappable batteries that kept it going without interruption. With dual GPS modules, a LiDAR sensor, and an infrared depth camera, A2 navigated reliably through city streets, highways, tourist areas, bridges, slopes, tactile paving, and even low-light nighttime environments. After more than 100 km, the robot was still in great condition,only the rubber on the soles showed some wear. Beyond marathon walking, effectively testing the overall performance and component stress, it can provide customers with a reliable standard for procurement. The company plans to deploy over 1,000 units in 2025 for tasks like reception, guiding visitors, delivery, and sorting.show more

CyberRobo
26,566 次观看 • 7 个月前
ENGINEAI just opened registration for URKL, a global humanoid... fighting league with an insane ¥10,000,000 (approx. $1.39 million) top prize. 🤖🥊 This is a massive engineering challenge focused on motion control and balance using the "T800" humanoid as the standard bot. The rules are strictly "non-violent," meaning no destructive mods are allowed. You win through better code and smarter protective gear. Here is the breakdown for teams looking to jump in: ➤ Massive Payouts: The winner takes ¥10,000,000 (approx. $1.39 million), second gets ¥2,000,000 (approx. $278,000), and third takes ¥1,000,000 (approx. $139,000). ➤ Hardware Perks: Every team that makes it into the Top 16 officially owns their T800 robot. ➤ Career Fast-Track: Top 8 finalists get a "Green Channel" straight to the final interview for job offers at ENGINEAI. ➤ Registration: Open from March 1 to April 30. Teams need at least 3 members with skills in control, electronics, or mechanical design. ➤ Global Finals: After the qualifiers, the world championship is set for December 2026 through January 2027. Once you are in, the committee hands over the simulation platform and T800 models to start training your boxing algorithms. Full Info: #Robot #Humanoid #Robotics #AI #EmbodiedAI #PhysicalAI #URKL #ENGINEAI #RobotFightingshow more

RoboHub🤖
30,637 次观看 • 4 个月前
Greetings $KOMmunity! 🙌 KOMMUNITAS 43rd Token Burn Completed! 🔥... We’ve just completed our April 2025 token burn — part of our long-term commitment since 2021 to gradually reduce the total $KOM supply from 40 billion to 2 billion. This ongoing initiative is a key part of our strategy to maintain a sustainable and healthy ecosystem. 🔹 Total $KOM burned: 474,219,696 🔹 Estimated value: ~$379,376 📊 Full April 2025 Report: Thank you for being part of this journey. Every burn brings us closer to a stronger, more sustainable future for the KOM ecosystem.show more

Kommunitas Official
22,301 次观看 • 1 年前
Our first spacecraft, Ray, has completed its mission on-orbit... – serving as an extremely successful testbed for validating key technologies despite not attempting re-entry due to an on-orbit short circuit in a component preventing our deorbit engine from igniting. Throughout 1,600+ orbits around Earth, our team collected invaluable technical data and operational experience. Notably, Ray executed two major orbital maneuvers, repeated on-orbit software updates, and proved out our in-house designed separation system. Read the full mission recap below and stay tuned! More insights on Ray to come and big updates ahead around its successor: Arc.show more

Inversion
15,445 次观看 • 1 年前
We’ve seen humanoid robots walk around for a while,... but when will they actually help with useful tasks in daily life? The challenge here is the diversity and complexity of real-world scenes. Our new work tackles this problem via 3D visuomotor policy learning. Using data from only 1 scene, our Improved 3D Diffusion Policy (iDP3) enables a full-sized humanoid robot to autonomously pick&place objects, pour water, and wipe tables, in the wild open world. (and all these skills are useful, right?) Web: Fully open-sourced code:show more

Yanjie Ze
75,248 次观看 • 1 年前
Watching this changes how you see the night sky.... The Moon never changes its face. It is always half lit by the Sun. What changes is our position as it moves around Earth. From full Moon when we see the entire lit side, to new Moon when the lit side turns away and it vanishes from our sky, every phase is just geometry and perspective. A slight tilt in its orbit is why eclipses are rare, not monthly. Nothing mystical, just cosmic alignment repeating with precision.show more

Cosmos Archive
19,514 次观看 • 2 个月前
BOOM! Humanoid Robots Just Performed Surgery for the First... Time! REAL VIDEO! In a groundbreaking preclinical breakthrough, researchers at UC San Diego have achieved what many thought was years away: teleoperated humanoid robots successfully completing live surgeries. Published in Nature, the study marks the world’s first use of humanoid robots for in-vivo laparoscopic procedures on large animals (pigs). Two separate surgeries were completed: Key Details •. Procedure: Laparoscopic gallbladder removal (cholecystectomy) •. Team 1: Human surgeon + one humanoid robot (the robot performed core tasks while the human assisted) •. Team 2: Two humanoid robots working together with no human at the operating table •. Robots: Custom “Surgie” humanoids (~5 ft tall, ~60 lbs) using standard surgical tools •. Control: Fully teleoperated by surgeons (remote human control, not autonomous) •. Significance: First demonstration of humanoid robots handling real surgical workflows in a live setting, proving compatibility with existing OR tools and spaces This proof shows humanoid robots could one day help address surgeon shortages, enable remote procedures in rural areas, battlefields, or even space all at a fraction of the cost and space of traditional surgical robots like da Vinci. Read the full publication here: Project page with video: The future of surgery just got a whole lot more interesting. And medical cost for the first time in decades will be scheduled to go down, much further down.show more

Brian Roemmele
107,249 次观看 • 9 天前
The situation in the Middle East right now is... serious, and many people in the region are going through uncertain times. Dubai and the entire Gulf region have always been incredibly important for our films and for our boss. Millions of Indians live and work there, and a massive fan base of Rocking Star stands proudly in that region. For a film of this scale, the experience is meant to be shared together by fans across the world at the same time. When such a large section of our audience is facing tension and uncertainty, it only makes sense to wait for the right moment so everyone can celebrate the film together in theatres. This decision shows responsibility and respect for fans everywhere. Cinema is about bringing people together, and the goal is for every fan, whether in India, Dubai, or anywhere in the world, to enjoy the experience without worry. Real fans understand this. The celebration will be bigger when the time is right. 🔥show more

Team Yash FC
95,921 次观看 • 4 个月前
Update on LAT Aerospace Our first uSTOL technology demonstrator... is ready. Today, we have a fully-electric, fixed-wing UAV, built from scratch and almost ready for flight. To make this possible in just a few months, we built our entire flight lab from scratch. Every bench, every tool, every fixture designed to push the aircraft closer to flight every single day. This aircraft is designed to takeoff in 40 meters (thanks to a massive CL of 5 which is more than 2x of what you see on most aircraft). Endurance of 60 minutes. With a range of being able to cruise autonomously from Mumbai to Pune. Ground rolls done. As I type this, we are pushing hard to get the bird in the air. Hopefully it doesn't blow up. Either way, I promise videos of our attempt sometime over the next few weeks. We have learnt so much over the last few months, and I am sure that there are a lot of hard learnings yet in store for us. Our research on hybrid-electric propulsion is already in full swing, and we’ve also started building a team to begin development on our own gas turbine engines. This is one of the hardest engineering challenges possible. Our team is relentlessly at it to make this a reality before the turn of this decade. To read more about LAT Aerospace, please visit -- PS: LAT is not a part of Eternalshow more

Deepinder Goyal
184,867 次观看 • 8 个月前
✨ Every time the video models get better, the... try on model on Photo AI also becomes a lot more useful, as a large % of my customers now are e-commerce store And showing clothes in a video is nice for sales! With AI this means stores don't need to do expensive shoots flying a model and entire camera and light crew around the world They can just upload a few photos of their models, then upload the clothes, and describe the setting (like a beach in Thailand) and in less than 10 seconds it's generated, for a video in less than a minute! Below is the input: a dress laid flat, and output: a full video shootshow more

@levelsio
334,170 次观看 • 1 年前
This isn’t a 3D model thrown in a box.... This is pure code. No Blender, no Maya, no shortcuts. Every voxel, every jump, every movement scripted from scratch. Generative art at this level means thinking like a designer, a coder, and an artist all at once. It’s not about placing pixels. It’s about writing the rules of how a frog should exist in the Bitcoin chain. BLOCKFROGS isn’t just generative. It’s engineered. Be part of this experience Wl = 2 Freemints 5 WL to snatch Post or Quote about BLOCK | Frogs | Panthers Drop the linkshow more

BLOCK | Frogs | Panthers
16,246 次观看 • 1 年前
🚨🚨 THIS WEAPON JUST CHANGED WARFARE FOREVER Israel just... deployed the Iron Beam in LIVE COMBAT for the first time in history. It's a laser. A literal laser that shoots down missiles and drones out of the sky. Cost per Iron Dome interceptor: $50,000 Cost per Iron Beam shot: $3.50 Three dollars and fifty cents. → It fires at the speed of light — there is no dodging it → It never runs out of ammunition — as long as it has electricity, it fires → It's already integrated into Israel's layered air defense system → It just intercepted incoming projectiles in the middle of a war → Iran fired 5 missile barrages in 7 hours — the Iron Beam didn't flinch This is why the Patriot interceptor crisis doesn't matter anymore. Ukraine burned through 600 Patriot interceptors in 1,460 days. The Iran war burned through 800 in just 3 DAYS. That rate is unsustainable. You can't manufacture interceptors fast enough. But a laser? Unlimited shots. Near-zero cost. Speed of light. Iran spent decades building a missile arsenal designed to overwhelm traditional air defense through sheer volume. Fire 1,000 missiles, hope 50 get through. That strategy just DIED. When a laser costs $3.50 per shot, it doesn't matter if you fire 1,000 or 10,000. Every single one gets burned out of the sky. This isn't just a weapon. It's the end of the missile age.show more

JinWoo Kim, IQ 289
6,688,526 次观看 • 4 个月前
This work makes a humanoid robot do simple parkour... moves by looking with a depth camera and choosing the right move on the fly. The big deal is that it turns lots of small human moves into long, real-time robot behavior, without hand-coding every transition or retraining for each new course. A humanoid robot is usually good at steady walking, but it often fails when it has to do fast moves like jumping up, vaulting, or rolling, and then keep going to the next obstacle. The hard part is that you cannot easily collect training data for every possible obstacle shape, distance, and mistake, so robots end up learning a few moves that only work in a narrow setup. This work starts from short clips of real human parkour moves, like stepping over, vaulting, climbing, and rolling. It uses motion matching, which is basically a smart “pick the next clip that fits best right now” search, to stitch those short clips into a long, smooth plan that looks like a human doing a whole course. Then it trains a controller with reinforcement learning (RL), which means the robot learns by trial and error to copy that plan while staying balanced and not falling. After training separate expert controllers for different moves, it compresses them into 1 controller that uses only onboard depth sensing and a simple “go this fast in this direction” command. In real tests on a Unitree G1 humanoid, it can clear multiple obstacles in a row, adapt when obstacles get moved, and climb a wall up to 1.25m.show more

Rohan Paul
37,121 次观看 • 4 个月前
Gemini 3! This is our most intelligent model that... brings any idea to life. 😻 This is the best model in the world, by a crazy wide margin! Aside from a huge increase across the absolutely everything, look at its coding capabilities and quality of aesthetics and fidelity. Just insane! This is a one-shot procedural voxel world from just this prompt: "three js infinitely procedurally generated voxel art scene of walking through the forest with falling autumn leaves" 👇 Enjoy!show more

Yi Tay
220,910 次观看 • 8 个月前
China is scaling humanoid robotics at an insane speed.... Super realistic robots from Ex-Robots are now reportedly entering mass production 🤖 - Not prototypes. - Not lab experiments. - Actual production. The biggest shift happening in robotics isn’t just intelligence anymore. It’s making robots look and behave socially acceptable around humans. And honestly… we’re reaching the point where some people may not immediately realize they’re talking to a robot. Exciting future or uncomfortable future? Media : Ex-Robots ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.show more

CTO ROBOTICS Media
13,284 次观看 • 1 个月前
It's been incredible to see neural networks working so... well on our humanoid robots Humanoids are crazy complex - an individual motor can rotate 360 degrees and you have 40+ joints. If you do the math, that means more possible robot states than atoms in the universe Figure has our own AI model called Helix that we've designed in-house. A single Helix neural network now outputs both manipulation and navigation, end-to-end from language and pixel input Every leap in machine learning has come from massive, diverse datasets. At Figure, we’re currently building the largest pretraining dataset for humanoids in history - excited to see what this unlocksshow more

Brett Adcock
93,986 次观看 • 9 个月前