Seeing @SEEINGAI666

Beyond the Arena More and more approachable humanoid robots are making their way into people's living radius… Beijing-based Dexmal has introduced its wheeled humanoid Apex, currently training in real scenarios: folding and hanging clothes + assisting payments in stores, stocking/sorting goods in supermarkets, and tableware placement in restaurants. It uses a modular design for quick swaps of chassis, arms, and end-effectors to adapt to different tasks.

Humanoid Robots Can Now Handle Over 20 Complex Household Tasks Astribot just released Lumo-2 model(a latent world-action model) demonstrates a humanoid robot autonomously performing 22 complex household tasks-- one of the strongest public real-robot showcases currently available. >Physical understanding: frying and flipping an egg in a pan, weighing 500g of millet, washing coffee powder bowls, grinding beans for coffee, mixology-style cocktail preparation; >Temporal reasoning: catching a ball rolling from a height, picking up a rolling egg, placing a cup on a rotating rack; >Dexterous manipulation: tying a butterfly knot on a gift box, packing toys into a backpack and zipping it, ironing clothes and hanging them, packing a suitcase and zipping it, opening tea bags to brew tea, folding clothes; >Long-horizon & collaboration: human-robot or dual-robot cooperative gift box assembly, etc. We are moving closer to truly practical humanoid robots for the home.

Home robot Memo’s New ‘’Brain‘’ for Fall Family Beta The biggest challenge for home robots is reliability in chaotic real households--messy clothes, changing lights, kids, and endless variation. Last November, @sundayrobotics ACT-1 impressed with zero-teleop training and strong generalization. Today, ACT-2 delivers a big leap: scaling pretraining makes in-house gains transfer reliably to unseen homes. Result? 99.1% zero-shot success folding 9 types of garments across diverse unseen environments. Even more impressive are the emergent behaviors -- edge-case recovery, robustness under disturbance, and whole-body manipulation that lets Memo go beyond fixed workspaces. and,the model is also picking up many more skills:vacuuming, organizing toys, zipping, flipping pants, making coffee, and beyond. This fall, Memo heads into family Beta testing. Though still premium-priced initially,i think these capabilities can later expand to hotels, B&Bs, and similar scenes...

This is truly life-changing news for people with limited mobility. Hangzhou BrainCo has integrated non-invasive brain-computer interfaces (BCI), humanoid robots, dexterous robotic arms/Bionic hands, and AI into one seamless platform. Users can now control a humanoid robot purely with their thoughts- directing the robotic arms to perform everyday tasks like fetching fruit, pouring water, or operating devices…even controls humanoid robot to shake hands with a person wearing a bionic hand. For those with mobility challenges, this becomes a powerful assistant for independent living. Even when family members or caregivers aren’t around, they can still act on their own, with the robot serving as a reliable extension of themselves. (Human-machine symbiosis: we are all cyborgs.)

BrainCo @BrainCo_Tech

2 days ago

Introducing BrainCo’s Brain-Controlled Robot AI Platform — the world's first integrated AI R&D platform for brain-to-robot research. Unlock brain-to-robot control in just 10 minutes. No BCI background required. #BrainCo #BrainControlledRobot #BCI #EmbodiedAI

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full blog->waldenrobotics.com/news/why-walden

A Humanoid Robot team Already Working at Toyota’s US Factory Walden Robotics just emerged from stealth with a practical wheeled upper-body humanoid. It has dual arms, a binocular vision head, and a bright orange(black)-white/design. The wheeled chassis (no legs) focuses on reliability rather than complexity. It’s already on the job in North American Toyota plants, handling full 8-hour shifts: moving parts, cleaning machines, kitting, equipment monitoring, and tool setup. Using Physical AI that learns while working, it collaborates effectively with humans and helps ease the physical burden on workers. Backed by a fresh $300M seed round (co-led by Toyota and Deviation Capital) at $1.1B valuation. The team, led by Russ Tedrake, spent nearly a decade at Toyota Research Institute developing key tech like Diffusion Policy, UMI, OpenVLA, and Large Behavior Models before spinning out in January 2026. “Walden” nods to Thoreau’s Walden, a reminder that robots should thoughtfully serve people, not just replace them.

NVIDIA just dropped RoboTTT--a way to give robots much longer “memory” of what’s happening, up to about 5 minutes of continuous action (way beyond the usual single-step or short-history models). The results are pretty cool: >Watch one human video → robot can imitate it right away, even in a new setup >It can catch and fix its own mistakes on the fly >If something gets knocked over or disturbed, it adapts and keeps going the longer the memory and adaptation ability, the closer humanoid robots get to general intelligence? Instead of rigid step-by-step instructions, they start acting on accumulated experience more fluidly--much like how humans develop intuition and common sense.

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57 years ago

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BREAKING: XPeng aims for >1,000 IRON humanoid robots per month by the end of 2026, with global rollout planned for 2027. Smart move leveraging their EV manufacturing expertise. They’re building a dedicated robot mass-production base in Guangzhou, tackling the two big bottlenecks: training data and scaling production. Initial deployments will start in XPeng stores and campuses for reception, guidance, and retail assistance--before expanding to broader commercial uses and overseas markets. In physical AI, it’s increasingly about who can actually ship at scale.

Seven years ago, Agility,then still a subsidiary of Ford,conducted tests using Digit to deliver packages to customers' homes.

Boston Dynamics @BostonDynamics

3 days ago

Boston Dynamics is testing a last-mile delivery solution, helping get packages from van to doorstep with less strain and greater efficiency. Learn how and why we're taking on one of the biggest supply chain challenges: bosdyn.co/4w2by8J

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Let’s take a look at a Chinese manufacturer’s solution. Shanghai-based RunRobotics recently unveiled a centaur humanoid robot. 100–120 kg payload and peak torque of 830 N·m, it features tactile-sensing dexterous hands, end-to-end environmental perception, and an explosion-proof design. wheeled-legged hybrid configuration combines the speed of wheels with the strong terrain adaptability of legs. It’s clearly designed for demanding special environments such as steelmaking, nuclear facilities, oilfield inspections, and firefighting/emergency response.

CyberRobo @CyberRobooo

4 days ago

Italy's IIT really has so many humanoid gems. Came across their 2018 Centauro--a centaur-like disaster response robot that combines a quadruped lower body with a humanoid torso and arms. Built for harsh settings like rubble fields or disaster zones, it needs both stable

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Crazy… Air humanoid Jordan Magic Lab has released a demo: The full-sized humanoid robot MagicBot X1 performs a flying slam dunk🤾‍♂️ Another kind of aesthetic of violence…

Anthropic is testing humanoid robots. Its latest research, Claude Plays Robotics shows Claude controlling real robots, including the Unitree G1 humanoid and the Unitree Go2 quadruped, across interfaces from low-level torque control to high-level VLA supervision. The results: >Go2 achieves stable balancing, walking, and basic navigation with pretrained policies. >G1 remains much harder, but balance has improved significantly despite the challenges of low-level control. >Newer Claude models (Opus 4.6/4.7, Mythos Preview) shine at high-level tasks like grasping and object manipulation. The gap in low-level control is narrowing fast. --- This builds on Project Fetch Phase 2 and signals that a safety-focused company like Anthropic actively benchmarking on real hardware signals that embodied AI is now core to their roadmap Meanwhile, nearly every major LLM player is moving into embodied AI: Google (Gemini robotics) OpenAI (humanoid robotics lab) Alibaba (Qwen-Robot Series) Mistral AI (Robostral Navigate-VLA) ByteDance (Seed-GR3/GR-RL,ByteDexter hand) … The era of large-model companies collectively racing toward embodied AI has truly arrived.

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Xiaomi Robotics has introduced Xiaomi-Robotics-U0, a 38B-parameter autoregressive world foundation model. Generative models like this are increasingly becoming “data engines” for robots. U0 brings text-to-image generation, image editing, multi-view embodied scene generation, scene transfer, and embodied video generation into a single model. A single real-world robot trajectory can be expanded into variations with different backgrounds, lighting conditions, and object configurations, while preserving the original actions and task logic. This matters because real-world data can never cover every possible scenario. A robot may learn to pick up a cup in one kitchen, yet struggle when the background changes or the lighting shifts. According to the tech report, post-training with U0-generated data improved the robot’s average task success rate in unseen backgrounds and challenging lighting conditions from 36.9% to 63.2%. The value of world models may go beyond predicting the world. They can also generate new worlds for robots to train in.

Xiaomi Humanoid Robot New Factory Training Since Q1, Xiaomi’s humanoid robots have been training on dual-side operations at the self-tapping screw workstation in its auto factory, achieving a 98% success rate. Today, Xiaomi shared that the CyberOne Gen2 autonomously performed two repetitive tasks in the final assembly logistics area: sorting center console side panels and folding material boxes --both reaching 90% success rates. They deployed both bipedal and wheeled models, working together with material transport robots as part of the broader intelligent automation system. I noticed the wheeled CyberOne was clearly more efficient and stable on the panel sorting task. In the first video, you can also see some noticeable jitter when the bipedal robot stops moving (though this should be relatively easy to fix). Xiaomi also candidly pointed out a current limitation in dexterity: when folding the second side of the material box, the robot still needs to adjust its orientation first to face the buckle, whereas skilled workers can pull the ring directly by feel without any micro-adjustments. Real-world scenarios are indeed the best benchmark.

CyberRobo @CyberRobooo

5 months ago

Xiaomi’s humanoid robot is now testing in a real car factory. It ran autonomously for 3 hours straight with a 90%+ success rate on installing self-tapping nuts,fully keeping up with the production line’s 76-second beat.

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Italy's IIT really has so many humanoid gems. Came across their 2018 Centauro--a centaur-like disaster response robot that combines a quadruped lower body with a humanoid torso and arms. Built for harsh settings like rubble fields or disaster zones, it needs both stable movement over uneven ground and the strength to use human tools for forceful tasks such as breaching doors or clearing obstacles. The four legs deliver terrain-following locomotion and stair climbing, while the upper body handles dexterous, high-force manipulation. The robot blends full-body teleoperation--mapping an operator’s movements directly to the machine, with local autonomous modules for motion and impedance control, supporting supervised or higher-level autonomy when useful. At 1.5m tall and 93kg, it carries roughly 11kg payload per arm with impact-resilient actuators. Battery life is about 2.5 hours. Its hybrid wheeled-legged legs (6 DoF each, with wheels at the ankles acting like rolling hooves) provide better stability than pure bipeds while keeping tool use intuitive. This focus on matching robot morphology to real task demands, rather than defaulting to a standard humanoid form, remains a useful reference. Curious what others think:could hybrid centaur-style platforms play a larger role in future rescue or specialized operations?

Holiday Robotics (Korea) raised $105M Series A. Wheeled humanoid FRIDAY targets factory dexterity. Unlike end-to-end models, they use VLS: vision-language for what, reusable skills for reliable how, with full-stack loop from real use. In PoCs for manufacturing/auto/… x.com/CyberRobooo/st…

Another welding demon by the wheeled humanoid robot "Daksha Gen 2" from India's i-Hub Robotics. It looks just like another service humanoid robot:"TARA",who has just clocked off from a hotel shift and couldn't wait to pull some overtime welding at the factory.

CyberRobo @CyberRobooo

7 days ago

Humanoid Welding Workers On the Job Persona AI’s Gen 1 humanoid entered a real workshop at ARC Specialties in Houston, Successfully completed a welding task via expert teleoperation--it squats down, maintains a steady arc, finishes the weld, stands up…using VR teleop to

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What if we expanded REK’s humanoid fighting simulator to real-life tasks? Build simulators(Simulated World)for housework, factory work, elder care, and multi-robot teamwork--all running on the same AI and physics as actual robots. Then anyone with a PC, controller, or headset could train humanoid robots just by playing games… Training humanoid robots through entertainment. I think someone is definitely designing this game.

CIX 🦾 @cixliv

a week ago

REK has been secretly building the world’s first humanoid fighting simulator. Opening today for beta on Steam. Using the same AI and physics as a real robots. This will allow millions of people to train to become robot pilots. A video game literally becoming reality.

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More and more humanoid robots are entering construction sites. UK T1 contractor Tilbury Douglas has deployed Douglas--a humanoid robot based on the Unitree G1,on a live building site, claiming it as a UK first. This 30kg off-the-shelf unit uses cameras and laser scanners to autonomously navigate, capture 360° imagery, and generate point clouds. It handles routine tasks like progress tracking and safety monitoring by taking daily fixed-position photos to detect deviations and create a continuous digital project record. Expected benefit: ~40 hours saved per month on manual site walks. While currently focused on low-risk monitoring rather than solving the UK’s acute skills shortage (needing 61,000 more workers yearly, especially bricklayers, electricians, and carpenters), it’s still early days--and inspiring to see real-world deployment.

CyberRobo @CyberRobooo

a week ago

Japan Shimizu Corporation is testing humanoid robots on live construction sites. Start with basic patrols… An upgraded Unitree H1 humanoid, equipped with a handheld camera, is autonomously patrolling the Torch Tower site at 1.0 m/s. It perceives the environment in real time,

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Which car companies have not yet ventured into humanoid robots or physical AI?