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i’ve always been curious how hand landmarks move together during gestures, so i built a real-time chord diagram that measures their cohesion. move the hand as a whole -> cohesion ~100%. wiggle fingers independently -> cohesion drops.

31,922 просмотров • 7 месяцев назад •via X (Twitter)

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New robot hands just dropped! But it seems to be missing a couple fingers. Tacta Systems Tacta Systems is a Palo Alto robotics startup that just came out of stealth, and raised with $75M and a dexterity platform, TactaBot, aimed at high-value manufacturing. TactaBot has three parts: - the Tacta Hand -> a human-scale robotic hand with 15 independently actuated joints, proprietary "Fluidic Tendon" actuation, pitched as reliable for millions of factory cycles. - the Tacta Sensor -> a tiny tactile sensor reading force from 250 Pa to 700,000 Pa, sampling at 400 Hz, resolving temperature to 0.1 °C. - Skill Capture -> a data system built around the Tacta Glove. It contains the same sensor embedded in a glove that factory workers wear. Sounds similar to what mimic is doing! Except with 3 fingers instead of 5. Tacta's vision sees 3 fingers as more than enough to complete all tasks, and less complex to simulate than 5. My opinion: Tacta is very strong at semiconductor/MEMS, their moat lies in their ability to manufacture their touch sensor as large as a grain of sand, not the hand or the model. One caveat though: there is no detail nor explanation of how the 5 finger data acquisition glove maps to the 3 finger hand -> I would love to learn more about it! This is where the interesting part of the tech is imho. If this does not work, then nothing does. Still, I have to admit it looks very cool, slick, and minimal, I love it:

Léo

15,474 просмотров • 2 месяцев назад

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. The system resembles soft matter, continuously deforming and reorganizing as it moves, driven by mechanical intelligence. Each robotic module measures 200mm long and 20mm wide, containing a small motor that oscillates between "I" and "U" shapes. These oscillations generate forces against the ground, allowing modules to inch forward and jostle together. On their own, modules move slowly and inefficiently. When they entangle into chains, they self-organize into shifting configurations that prove resilient in challenging environments. On incline surfaces, chains moved more reliably than individuals. In obstacle fields, the collective behaved like a flowing material, connections formed to maintain cohesion, then broke apart to prevent jamming. The system stays functional even when modules fail. Isolated modules emit an audible distress signal, prompting nearby modules to slow down so the straggler can reconnect. No centralized sensing or control, each module infers when it has lost contact by how much it's being jostled. Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

13,026 просмотров • 4 месяцев назад