Figure AI's humanoid robots — powered by the Helix-02 neural network — just completed a full 8-hour autonomous shift sorting packages in a factory. The company live-streamed the humanoid's sorting tasks which ran for over 14 hours. Multi-robot coordination with automatic swap-outs when batteries run low. Is this hat the future of factory work looks like? #FigureAI# #Helix02# #HumanoidRobots# #Robotics# #FactoryAutomation# #AIRobotics# #FutureOfWork# #Autonomous#

Humanoid robots are going to be one of the biggest game-changers we’ve ever seen. They’re going to help us in ways that are genuinely super exciting like taking over the dangerous, dirty, and exhausting jobs nobody wants… warehouses, factories, elder care, you name it. They will solve huge labor shortages and let us humans focus on more meaningful work. It’s going bring abundance and productivity to a whole new level. But I believe there will also be a dark side to this… it’s probably also going to create a lot of real chaos. If you pay attention, these robots don’t get tired, don’t complain, don’t need breaks, and they can keep going 24/7 as long as they are charged. And they also will cost much less than humans as well… They’re going to be stepping in for entire shifts of human work in a way we’ve never seen before. And it’s happening faster than most people realize. A lot of people are still sleeping on this, thinking this is just for show. They see it as “cool tech” but fail to connect the dots on how it’ll disrupt jobs, economies, and our daily lives. This is the reality unfolding in real time. I’m excited about what this means for humanity, but we also need to be smart about it. Retraining, new opportunities, support for people whose jobs get lost… we’ve got to get ahead of it instead of scrambling later. I get it when Elon says we will eventually need universal basic income...

Humanoid robots engage in full tea-making process Humanoid robots took on a challenge of working throughout the process of tea-making in east China's Fujian Province on Sunday as part of a promotion campaign for the 2026 World Humanoid Robot Games in August.

We are a humanoid robotics startup from the Valley. For the past year, we’ve been quietly building humanoid robots. Today, we want to share something special with the world: Domo — a $2,999 humanoid robot built for developers, creators, researchers, and anyone ready to build with physical intelligence. Enjoy. Details at:

Why Generic Humanoid Robots Will Fail — And What's Next Imagine an alternate world where we never invented the car. In that world, a robotics engineer might reasonably conclude that robotic horses are the future — replace the living ones, keep the stables and saddles, ride them to work. Convenient, modern, and the roads stay free of manure. It sounds absurd only because you already know about cars. We keep making the same mistake with humanoid robots. Consider transportation. To finally make driving safe, we had two options: put a humanoid in the driver's seat, or embed sensing and compute directly into the vehicle. Waymo chose the latter. It has no steering wheel. It exists purely to move people efficiently from A to B. The humanoid was not needed. Consider a sock factory. Yes, you could replace workers with humanoid robots one-for-one on the assembly line — and gain maybe 2-3x efficiency. Or you could completely redesign the workflow around a purpose-built autonomous sewing system and eliminate most of the factory, the chairs, the cafeteria, the manual sewing machines, the HVAC, the doors, and the restrooms. The actual optimization is to side-step the previous human-imposed physical constraint. Look at Ukraine. The front lines aren't filling up with Terminator-style humanoids carrying rifles. Human soldiers are being replaced by heterogeneous swarms of purpose-specific drones: some for reconnaissance, some for logistics, some for delivering munitions. War is being restructured around the desired outcome (survival), not the soldier's shape. Consider a 1970's office. Want to move information through teams of people? We once used typists, paper, trucks to supply the paper, typewriters, and repair technicians. A linear improvement would have been to replace the human typist with a 10-fingered humanoid. What actually happened? The entire workflow — paper, printers, typewriter factories, delivery trucks, the desks, the offices — was obliterated. Email deleted the human clerk's entire universe. Consider cancer early detection by mammography. Today, getting a mammogram requires expensive hardware, logistics infrastructure, human nurses and doctors, a biopsy workflow, a human pathologist with a microscope (imported from Germany or Japan), a written finding, multiple physician reviews. Sure, you could replace the pathologist with a humanoid (the microscope focus knob requires finger dexterity) and get a modest efficiency gain (and faster responses at 2 am). Or — the far more likely future — we all swallow a cancer detection pill every few months, and 24 hours later a color-changing sticker on our arm turns red or green. No hardware. No hospital. No logistics. No pathologist. No office. No desk. No humanoid. The workflow isn't optimized by a literal drop-in swap of a human pathologist for a humanoid. The entire workflow simply ceases to exist. Consider life sciences research and drug development. We're seeing excitement about robot arms and humanoids pipetting water in research labs. Robot horses, episode 7. We don't design aircraft by crashing test planes — we simulate them entirely in software first. Biology will go the same way. The path to scalable drug discovery isn't robot arms in conventional wet labs demonstrating 10 fingered prowess in manipulating Eppendorf tubes filled with purple food coloring. Rather, we need in-silico biological models that evaluate billions of hypotheses computationally, with physical manipulation of atoms only at the very end. The clear pattern. Efficient automation doesn't try to replicate a 10-fingered human in a static context. Automation eliminates physical rate-limiting steps in their entirety. That's why "classical" humanoid robots, as a generic category, will largely fail. They're robotic horses. They assume the infrastructure and workflows stay fixed and only the 10-fingered human is swapped out. That's not how economic and technological pressure works. What actually matters? If humans continue to inhabit the physical world, then moving atoms will remain important, and that requires five things: atoms, energy, force generation and actuation, sensing, and compute. Everything else — form factor, number of limbs, type of end effector — is a variable to be optimized for the task. So if you are a pathologist, a robotics engineer, a teacher, a parent, a politician, or a sewing factory owner - please think different. Most obviously, we should all anticipate, and build for, a future in which robots exhibit extreme physical fluidity: Two arms or four. Wheels or legs. Tentacles or flippers. Three fingers or twelve, or none at all. Eyes at the front, side, or tip of a tentacle. At OpenMind, we don't care what you look like right now - we got you, in all your physical form factors. OM2 ships in July, for all machines. Let's build.

Heard some people like wheels？😁 Humanoid robots are the ideal form of general-purpose robots (perfect for general AI and human-derived data). They can work without wheels — but they can also have wheels if they want. Whatever works.

These are the three biggest opportunities of this decade: 1. Agentic AI 2. Self-driving Cars 3. Humanoid Robots We're seeing trillion-dollar markets being created in real time. And it's just getting started.