System ID for legged robots is hard: (1) Discontinuous... dynamics and (2) many parameters to identify and hard to "excite" them. SPI-Active is a general tool for legged robot system ID. Key ideas: (1) massively parallel sampling-based optimization, (2) structured parameter space, and (3) active exploration based on Fisher Information to collect the most informative data in real. SPI-Active provides an accurate robot model and effectively reduces the sim2real gap. In sim2real policy learning setting, it outperforms baselines by 42-63% in various quadruped & humanoid tasks. Led by Nikhil Sobanbabu Guanqi Heshow more

Memo is a robot that uses AI to perform... household tasks effectively. Today Sunday announced its Series B, and we’re proud to be investors. Training robots for the home is hard — the environment is messy, dynamic, and full of edge cases. So Sunday is training robots directly on real households. Founders Tony Zhao and Cheng Chi built a glove-based system that lets hundreds of contributors record everyday tasks in their own homes, creating high-fidelity demonstrations that feed directly into robot learning. Home robotics will be defined by the companies that learn fastest from real homes. Sunday is building that loop. More here: Aaref Hilaly Amanda Huangshow more

A student just trained this within a day, no... tedious tuning, no sim2real tricks, not even with sys-id. Worked in the first trial on the real robot. This explains the many recent impressive demos on G1 robot -- just the hardware. Still sim2real gaps on ankle and waist dofs tho.show more

The two humanoid robots (Niya) at the Zhongguancun Forum... Information Desk are in a dormant state. When the meeting starts, they will continue to receive participants. This humanoid robot with humanoid design is specially made for consultation, reception, welcoming and social companionship. It is driven by AI and provides information services and emotional value.show more

System identification (sysid) is the process of finding the... physical parameters that make a simulation match reality. If you're training an RL locomotion policy in simulation, the accuracy of your motor model directly affects how well the policy transfers to the real robot. A recent git commit by Kevin Zakka added a sysid toolbox to MuJoCo which automates this process: you provide recorded motor data and a MuJoCo model, and it optimizes the model parameters to minimize the difference between simulated and real trajectories. For my RobStride Dynamics RS02 QDD motors (17 Nm peak, 7.75:1 gear), I built a Rust tool that sends multi-sine torque excitation at 1 kHz and records position/velocity feedback. I then feed this data into MuJoCo's sysid optimizer.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

China’s AI robot is going crazy EX-ROBOT is one... of the most popular robot companies in China you can see them in restaurants, hotels and homes and… talk with them to complete tasks for you 10 wild examples:show more

Most Americans don't get how fast Chinese robots are... improving and scaling. I can buy this robot and get it to my door in 2-3 weeks. Meanwhile you can't buy a single American humanoid robot (yet).show more

Robots struggle with strict action rules…memory and symbols help... them learn fast. [Project + Full video link ⬇️] Robots struggle when tasks require specific steps in a fixed order. What if memory helped them think symbolically and learn faster? Solving tasks like unlocking a door then opening it is hard for deep RL. But by learning constraint relationships and storing them in memory, robots can solve these tasks much faster; with fewer trials and less training. Why it works ✅ Learns symbolic rules about action constraints ✅ Uses memory to transfer what it learned across tasks ✅ Handles real-world exploration with just 30 minutes of data ✅ Needs 10x fewer episodes than deep RL approaches This memory-based method shows a promising path forward for robots learning structured, real-world tasks. Full video: Paper: Thank you, Mrinal Verghese for sharing this amazing work! 🙏show more

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

Let's skip the metal humanoid robots for a moment.... Meet ultra-realistic humanoid robot friend, Aria, created by the sex robot company Realbotix. You can talk to her in real time, and she can even respond with emojis. These capabilities are beginning to spread to companionship, psychological therapy, and medical rehabilitation for elderly people living alone.show more

The Unitree Go2 quadruped robot can balance on 1... leg and even stand upright to walk on 2 legs.show more

Super hyped to announce PAI 2.3!!! A complete rewrite... of the PAI system focused around: - USER, WORK, and SYSTEM data isolation - A Continuous Learning system based on hook-based Sentiment gathering - User-based Skill Personalization ...show more

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

The KF41 is a cutting-edge IFV design developed by... Rheinmetall in the mid 2010s, and coming to War Thunder in the next major update! Lots of nice features with a 30mm autocannon, Spike-LR ATGMs, high mobility and an active protection system! 👉show more

What's different between these two BC policies? It's the... same architecture, training budget, and data collection setup — the only difference is the controller gains! Controller gains are an understudied design parameter in robot learning. In our new work (w/ antonia bronars*, Pulkit Agrawal), we show how they act as an inductive bias across BC, RL, and Sim2Real transfer, with real consequences on performance. Here's what we found 🧵 * Equal Contribution 📄arxiv: 🔗website:show more

A humanoid robot just started a job at Ericsson.... Not in a factory. In the lobby. Realbotix delivered a new AI vision system called Vinci along with a humanoid robot to Ericsson’s Imagine Studio. It can recognize faces, read expressions, and understand what’s happening around it in real time. So it doesn’t just respond anymore. It pays attention to people. Its job is simple. Greeting visitors. Guiding people around. Helping explain a few things to employees and guests. The first real roles for humanoid robots might not be just physical work. They might be human interaction.show more

Nitro Machines is heading to @SolanaGaming 🏁 Nitro Machines... is a multiplayer RC arcade racer built around short sessions, skill-based gameplay, and real competition. We're excited to bring the game to one of the most active gaming ecosystems in crypto.show more

We're excited to introduce Arcee.ai's Trinity Large model. An... open 400B parameter Mixture of Experts model, delivering frontier-level performance with only 13B active parameters. Trained in collaboration between Arcee, Datology and Prime Intellect.show more

Teaching robots how to paint! 💅🏼 This painting robot,... for example, mimics human movements with precision to handle repetitive, and tiring tasks. A special device memorizes points in 3D space, which are then sent to the robot's control. The result? A robot that, after a single demonstration, can perform a given action. Keep in mind that it's taught as 'fixed'. 👨🏻‍🔧 That is, it will not be able to react to an anomaly or changing environment. But ultimately, with fewer workers available and many avoiding tough, dirty jobs, robots are helping industries stay efficient and safe. ♻️ RT to help 1 robot find a new workplace!show more

1. "Life is a beauty, when it's bountiful by... your side, Yes, when your sincerity for it, is full and wide." 2. "Life is a choice between being passive in its face and being active for its sake." - Zafar Mirzo Zafar Mirzoshow more