Our unsupervised pre-training algorithm is provided in Algorithm 1. We assume that the pre-training environment provides access to both proprioceptive states (the input of the skill policy) and goal state features as defined in Appendix B. During training, goal spaces and goals are randomly selected for each episode The low-level skill policy

In a world where human boxers are at risk of dangerous injuries, we may have a glimpse of what the fight of the future could look like. New footage shows the world's first humanoid robot boxing tournament, which took place over the weekend in Hangzhou, east China. In the bizarre clip, two lifesize robots wearing gloves and protective headgear fight each other in a ring as a human officiator looks on. Each fighter robot weighs about 35kg and is 4.3ft (132cm) tall – roughly the height of the average eight-year-old child. Both the bots initially have trouble seeing exactly where their opponent is before successfully trading punches and kicks, to the delight of a baying crowd.

We cast real-world humanoid control as a next token prediction problem, akin to predicting the next word in language. Our model is a causal transformer trained via autoregressive prediction of sensorimotor sequences. To account for the multimodal nature of the data, we perform prediction in a modality-aligned way, and for each input token predict the next token from the same modality. This general formulation enables us to leverage data with missing modalities, such as videos without actions. We train our model on a dataset of sequences from a prior neural network policy, a model-based controller, motion capture, and YouTube videos of humans. We show that our model enables a real humanoid robot to walk in San Francisco zero-shot. Our model can transfer to the real world even when trained on only 27 hours of walking data, and can generalize to commands not seen during training. These findings suggest a promising path toward learning challenging real-world control tasks by generative modeling of sensorimotor sequences.

Breakthroughs, discoveries, and DIY tips sent every weekday. After decades of being tortured, shoved, kicked, burned, and bludgeoned, robots are finally getting their chance to fight back. This weekend, Chinese robotics maker Unitree says it will livestream the world's first boxing match between two of its humanoid robots. The event, titled Unitree Iron Fist King: Awakening, will feature a face-off between two of Unitree's 4.3-foot-tall G1 robots. The robots will reportedly be remotely controlled by human engineers, though they are also expected to demonstrate some autonomous, pre-programmed actions as well.

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Elon Musk's plan to show off his dancing robot has left the Tesla CEO red-faced after his own AI made an embarrassing admission. On X, which Musk owns, the billionaire shared an impressive'real real-time' video of Tesla's humanoid robot, Optimus, demonstrating some flashy dance moves. However, when a curious commenter asked the billionaire's AI, Grok, to rate the robot, the chatbot declared Optimus' usefulness is'limited'. Adding to the humiliation, the AI then ranked Optimus at the bottom of its list of the best humanoid robots. In response to the user's question, Grok wrote: 'Tesla's Optimus robot shows advanced mobility with its dancing, highlighting strong balance and coordination. 'However, its real-world use is limited, mainly in Tesla's factories for simple tasks, with broader deployment planned for 2026.' Putting Optimus at the bottom of its top-five ranking, the AI added that the robot has'impressive mobility but early in practical application.'

Mirokaï is designed to be helpful, engaging and enchanting. Have you ever wished robots could do more than just follow instructions? Born from the creative minds at Paris-based startup Enchanted Tools, Mirokaï isn't just another humanoid robot. It's designed to be helpful, engaging and, honestly, a bit enchanting. With its blend of advanced artificial intelligence, storytelling and a dash of charm, Mirokaï turns ordinary moments into something a little more memorable.

Bryan Johnson is on a mission to not die. The 47-year-old multimillionaire has already applied his slogan "Don't Die" to events, merchandise, and a Netflix documentary. Now he's founding a Don't Die religion. Johnson, who famously spends millions of dollars on scans, tests, supplements, and a lifestyle routine designed to slow or reverse the aging process, has enjoyed extensive media coverage, and a huge social media following. For many people, he has become the face of the longevity field.

Alpha School co-founder Mackenzie Price and a junior at the school Elle Kristine join'Fox & Friends' to discuss the benefits of incorporating artificial intelligence into the classroom. Alpha School uses AI-powered software and devices like these to deliver personalized instruction in just two hours of classroom time per day. TOP OF THE CLASS: At a time when many American students are struggling to keep up, a private school in Texas is doing more with less, much less. At Alpha School, students spend just two hours a day in class, guided by an Artificial Intelligence (AI) tutor. But results are impressive: students are testing in the top 1 to 2% nationally.

The future of law enforcement is here, and it's wearing a robotic face. Around the globe, police forces are integrating artificial intelligence-powered robots into public safety strategies, blending advanced surveillance with real-time threat detection. Thailand has emerged as a key player in this shift, deploying its first AI police robot during the chaotic Songkran festival, a move that raises critical questions about safety, privacy and the role of technology in society. Join the FREE CyberGuy Report: Get my expert tech tips, critical security alerts, and exclusive deals -- plus instant access to my free Ultimate Scam Survival Guide when you sign up! During the Songkran festival, Thailand unveiled AI Police Cyborg 1.0, a stationary robot stationed at Nakhon Pathom's Tonson Road venue.