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Viral mishaps underscore a big challenge for robot makers aiming to put them to work in factories and warehouses: How can they ensure a humanoid doesn’t hurt a human? 🔗

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The Wall Street Journal

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75,289 görüntüleme • 1 ay önce •via X (Twitter)

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Learn about how to make humanoid robot teleoperation work for humanoid *mobile* manipulation in this podcast. Really cool work by Siyuan Huang and yixuan_li!

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A new wheeled humanoid robot DARWIN-01 From Shenzhen Standard Robotics. This is a humanoid robot for industrial manufacturing and warehouses. The foldable body can adapt to a variety of spatial operations, and the end effector can also be switched to adapt to personalized business goals. The maximum load is 10kg. The universal wheels can shuttle between shelves, workshops and assembly lines at will, with a speed greater than 2m/s. Automatic charging or battery replacement, with a battery life of 12 hours.
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A new wheeled humanoid robot DARWIN-01 From Shenzhen Standard Robotics. This is a humanoid robot for industrial manufacturing and warehouses. The foldable body can adapt to a variety of spatial operations, and the end effector can also be switched to adapt to personalized business goals. The maximum load is 10kg. The universal wheels can shuttle between shelves, workshops and assembly lines at will, with a speed greater than 2m/s. Automatic charging or battery replacement, with a battery life of 12 hours.

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They put a robot dog in to see how a leopard would react and the reaction was worthy of any cat.
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At China's first facility dedicated to training heterogeneous humanoid robots in Shanghai, over 100 humanoid robots can train simultaneously to perform a variety of tasks including playing football, item sorting and equipment operation. #robot #humanoid #training #Shanghai

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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.

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Yes, but can it curtsy?! 😉 🤖 In South Korea, The Princess Royal and Sir Tim Laurence visited a Smart Mobility Laboratory, where they were shown demonstrations of a humanoid robot, a dual-arm robot and a motion capture system. Korea University and University College London signed a cooperation MoU in 2023 and now operate a joint fund to support science research projects.

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This work makes a humanoid robot do simple parkour moves by looking with a depth camera and choosing the right move on the fly. The big deal is that it turns lots of small human moves into long, real-time robot behavior, without hand-coding every transition or retraining for each new course. A humanoid robot is usually good at steady walking, but it often fails when it has to do fast moves like jumping up, vaulting, or rolling, and then keep going to the next obstacle. The hard part is that you cannot easily collect training data for every possible obstacle shape, distance, and mistake, so robots end up learning a few moves that only work in a narrow setup. This work starts from short clips of real human parkour moves, like stepping over, vaulting, climbing, and rolling. It uses motion matching, which is basically a smart “pick the next clip that fits best right now” search, to stitch those short clips into a long, smooth plan that looks like a human doing a whole course. Then it trains a controller with reinforcement learning (RL), which means the robot learns by trial and error to copy that plan while staying balanced and not falling. After training separate expert controllers for different moves, it compresses them into 1 controller that uses only onboard depth sensing and a simple “go this fast in this direction” command. In real tests on a Unitree G1 humanoid, it can clear multiple obstacles in a row, adapt when obstacles get moved, and climb a wall up to 1.25m.

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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.
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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.

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Today we are showing two humanoid robots performing collaborative grocery storage A single set of Helix neural network weights runs simultaneously on two robots They then work together to put away groceries neither robot has ever seen before

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