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Robots that act like slime! 🫟 Cornell University engineers developed a robotic collective that behaves less like a machine and more like a material that flows, reshapes, and adapts without centralized control. It consists of dozens of small robots with limited individual mobility that exhibit coordinated motion when entangled....

13,026 次观看 • 1 个月前 •via X (Twitter)

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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.

Rohan Paul

37,121 次观看 • 4 个月前

Normally I wouldn’t be this interested in chip tech, even considering this is impressive. Huawei has found a creative workaround to catch up with the likes of TSMC. But what makes it even more compelling to me is the bigger story and resilience behind it. Starting in 2019, Huawei faced intense sanctions that significantly restricted their access to advanced chip technology and global supply chains. For a while, it looked like this would seriously damage or even sideline them in major way. A lot of people thought the company was done or would be stuck far behind for years. Yet Huawei refused to die. Pushed hard by those challenges, they didn’t fold or give up. Instead, they dug in, poured everything into self-reliance, research, and fresh thinking. They reinvented how they approach problems and entered a whole new era of innovation and creativity that probably wouldn’t have happened this quickly, or maybe even at all, without being forced into that corner. That’s the part I find truly inspiring. When the pressure was at its heaviest, they turned obstacles into fuel. They focused on what they could control, built up their own capabilities, and came back stronger with real breakthroughs. It’s rare to see that kind of determination pay off in such a visible way. So many observers probably believed the sanctions would destroy them or at least slow them down permanently. Instead, they lit a fire under the whole company and sparked a level of ingenuity that feels genuinely exciting to watch unfold. Sanctions were supposed to end them. Instead, they pushed Huawei into this impressive new chapter of self-reliance and forward momentum. That kind of comeback story is exactly why I’m such a big fan and why moments like this announcement feel so satisfying.

Daniel Dumbrill

56,350 次观看 • 1 个月前