This also shows up in the representations learned by... the model. We plot the model’s representations of human and robot images. As pre-training is scaled up, the representation of humans and robots become more aligned: to a scaled-up model, human videos "look" like robot demos.show more

How can we leverage diverse human videos to improve... robot manipulation? Excited to introduce EgoVLA — a Vision-Language-Action model trained on egocentric human videos by explicitly modeling wrist & hand motion. We build a shared action space between humans and robots, enabling seamless transfer. With some robot demos, EgoVLA becomes a powerful, generalizable robot policy.show more

Text-to-image diffusion transformer models learn to align text and... image representations as a byproduct of their conditional denoising task. By taking the dot product between the text and image representations of a DiT model (like Flux 2), you can create rich saliency maps.show more

how Smooth Is Human-Robot Table Tennis Match? Intelligent robots... play table tennis accurately, bringing fun human-machine competitions. The combination of sports and technology shows the infinite vitality of scientific innovation.#ICIF #Shenzhen #tennisshow more

(1/2) MonoNPHM will be presented as a #CVPR2024 Highlight!... Our Neural Parametric Head Model parametrizes both geometry and appearance. With the learned model, we can then 3D reconstruct and track human heads from images or videos.show more

TESLA’S NEXT-GEN OPTIMUS V3 HAND IS GETTING CLOSE TO... HUMAN-LEVEL Tesla engineers just shared new details on the Optimus V3 hand — and the progress is striking. They’re now saying that as they move into Gen-3 and mass production, the hand is getting very close to human functionality and form factor. One engineer described it clearly: “It won’t even look like a robot. It will look like a human in a superhero suit. It will be something revolutionary.” This level of dexterity and human-like design is a critical milestone. The hand is one of the hardest parts of building a truly useful humanoid robot — and Tesla is iterating extremely fast.show more

In the future, it might just be humanoid robots... doing the refueling!🤖⛽️ Sinopec plans to introduce humanoid robot workers across its gas stations. They will handle tasks like fueling, picking up items, restocking, and inspections,working alongside human staff, especially during peak holiday periods in China to ease service pressure. With more than 30,000 gas stations across the country (most of them equipped with convenience stores), this implies a deployment of at least 30,000 humanoid robots. The robot is a wheeled humanoid developed by Beijing-based company FIVEAGES.show more

So… the 1X NEO home robot is not actually... autonomous. Behind the scenes, it’ll often be teleoperated by humans, meaning someone, somewhere, could literally remote-control a robot inside your living room. I wanted the dawn of embodied AI. Instead, I’m apparently paying $499/month for a robot avatar with a human pilot. It’s impressive tech. But also… kind of dystopian? A robot that looks alive, yet secretly puppeteered, the uncanny valley just got a new basement level. Feels less like the “post-labor future,” and more like we just outsourced physical presence itself.show more

This isn’t a robot it’s a Dominican Papibot $tsla... Boston Dynamics just raised the bar again. The new Atlas moves with fluid, human-like coordination—then goes past human limits. Balance, recovery, and whole-body control are happening in real time, not pre-scripted demos. $nvdashow more

The context size of video world models is only... a few frames. Like a human with severe memory loss! We design a long-term memory for world models based on explicit 3D representations inspired by the human mind. This enables long-term consistency. 1/3show more

Turns out you can train humanoid hands without any... robot data. The idea in HUG is quite simple: (a) collect human data with smart glasses, (b) train a human manipulation model, (c) retarget to multi-fingered robot hands.show more

Kalesh b/w Robot and Human (As the Robot stepped... into the Elevator, The Man suddenly kicks it)show more

New startup out of stealth in Cambridge MA: Eka... Robotics. The company is building intelligence for the physical world in its native language: FORCE. Their core solution to mastering fast, reliable adaptive robots: Vision-Force-Action (VFA) model: - sim-only reinforcement learning - no human teleop data - robot practices thousands of hours in a physics-rich simulator (mass, inertia) and comes up with its own solutions, AlphaZero-style. - custom grippers add touch sensing; the model maps pixels + felt force to actions.show more

This is an insane leap! The most human-like humanoid... robot in history designed by the Chinese company #XPENG.show more

🤖🏃‍♂️ The world’s first humanoid robot half marathon is... set for April 13 in Beijing Yizhuang! Robots and human runners will race side by side, sharing the same track and starting line. ⏱️ Will the bots keep up? Stay tuned! [Video: Xinhua] #RobotMarathon #AIinSportsshow more

The most realistic humanoid robot is still a human... in a robot suit.show more

Your model can't zoom up as much as your... friends? Send this to your rigger❗️ - In the video, left side is adjusted exported param, right side is the default. - The left model has a more close up default state and can zoom up more than the right The export parameters that you should pay attention to - Center of model Y vertically affects the center of exported model - Canvas scale unit: How big the default state of your model is Personally I would recommend having - Center of model Y at 0.25 - 0.15 ( to focus on the face) - Canvas scale unit: 4.0 #live2d #live2dtip #vtubestudioshow more

The Hidden Language of Diffusion Models paper page: tackle... the challenge of understanding concept representations in text-to-image models by decomposing an input text prompt into a small set of interpretable elements. This is achieved by learning a pseudo-token that is a sparse weighted combination of tokens from the model's vocabulary, with the objective of reconstructing the images generated for the given concept. Applied over the state-of-the-art Stable Diffusion model, this decomposition reveals non-trivial and surprising structures in the representations of concepts. For example, we find that some concepts such as "a president" or "a composer" are dominated by specific instances (e.g., "Obama", "Biden") and their interpolations. Other concepts, such as "happiness" combine associated terms that can be concrete ("family", "laughter") or abstract ("friendship", "emotion"). In addition to peering into the inner workings of Stable Diffusion, our method also enables applications such as single-image decomposition to tokens, bias detection and mitigation, and semantic image manipulationshow more

🔥WATCH: HUMANOID ROBOT ALMOST THROWS HANDS A humanoid robot... appeared ready to square up after a man interrupted its play. The reaction was way too human! This robot is basically a kid with metal joints. 🤖show more

As the world gets more digital, it should also... be more human. That's why we're making banking at TD feel more simple, more empathetic, and more intuitive. Watch this new chapter of our story about a little robot going on a big journey. The very same robot we’re casting here!show more

we open sourced the code to transform human videos... into robot trajectories, so you can train robots with your hands 👐🏻 we used it in our recent paper R+X: Retrieval and Execution from Everyday Human Videos (ICRA 2025 🇺🇸) link and details in thread 🧵show more