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Physical intelligence needs touch, not just vision. eFlesh is a fully 3D-printable magnetic tactile sensor that enables reliable slip detection and contact awareness on real robots, using low-cost hardware and scalable fabrication

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Robots Digest 🤖

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243,808 просмотров • 8 месяцев назад •via X (Twitter)

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Комментарии: 12

Фото профиля Robots Digest 🤖
Robots Digest 🤖8 месяцев назад

eFlesh turns touch into action. A visuo-tactile transformer policy learns precise manipulation like USB insertion, plug insertion, card swiping, and whiteboard erasing, outperforming vision-only baselines across all tasks.

Фото профиля Robots Digest 🤖
Robots Digest 🤖8 месяцев назад

Why it works: tunable microstructures control stiffness and sensitivity, while alternating magnet layouts suppress interference. The result is consistent signals across sensors and robustness needed to scale physical intelligence in the real world.

Фото профиля Robots Digest 🤖
Robots Digest 🤖8 месяцев назад

paper: website:

Фото профиля Skyta Space
Skyta Space8 месяцев назад

sensing is massively underrated in robotics. Vision alone can't tell you when something's slipping or how much force you're applying. The fact that eFlesh is 3D-printable with low-cost hardware makes it accessible for research and real-world deployment. Scalable tactile feedback is a game changer.

Фото профиля Eros Up
Eros Up8 месяцев назад

I don't like that it's called eflesh

Фото профиля Jordache Boudreau | Innovative Potential
Jordache Boudreau | Innovative Potential8 месяцев назад

now try some of the other senses!

Фото профиля Derp Ventures 🌫️
Derp Ventures 🌫️8 месяцев назад

Embodied intelligence

Фото профиля Zoe Sterling
Zoe Sterling8 месяцев назад

robots getting tactile sensors before dating apps add a "actually funny" filter feels like misplaced priorities

Фото профиля DoctorOctorpus
DoctorOctorpus8 месяцев назад

are you suggesting that this is easy to do at home if you have a 3d printer?

Фото профиля Sebastian Buzdugan
Sebastian Buzdugan8 месяцев назад

that slip detection demo on the fingertip is impressive

Фото профиля Peyman Servati
Peyman Servati8 месяцев назад

That’s where you need tactile 5k1n and TactileFoundaion from @TexavieInc

Фото профиля gigi
gigi8 месяцев назад

@grok why robot need slip detection?

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Open-source magnetic tactile sensor for $5! 🧲 Researchers introduced a magnetic tactile sensor that's low-cost, and easy to fabricate, democratizing tactile sensing for robotics. Operating in unstructured environments like homes and offices requires robots to sense forces during physical interaction. Yet the lack of a versatile, accessible tactile sensor has led to fragmented solutions and often force-unaware, sensorless approaches. Building an eFlesh sensor requires four components: a hobbyist 3D printer, off-the-shelf magnets (less than $5), a CAD model, and a magnetometer circuit board. The sensor is 3D printed with magnets embedded in the middle layer. Based on chosen mechanical properties, magnets displace in response to contact forces, measured by a magnetometer underneath. An open-source design tool converts simple OBJ/STL files into 3D-printable STLs. This enables application-specific sensors for robot hands, grippers, quadruped feet, and more. Slip detection generalizes to unseen objects with 95% accuracy. Visual-tactile control policies improve manipulation by 40% over vision-only baselines, achieving 90% success on precise tasks like plug insertion and credit card swiping. All design files, code, trained models, and conversion tools are openly available. Project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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Open-source magnetic tactile sensor for $5! 🧲 Researchers introduced a magnetic tactile sensor that's low-cost, and easy to fabricate, democratizing tactile sensing for robotics. Operating in unstructured environments like homes and offices requires robots to sense forces during physical interaction. Yet the lack of a versatile, accessible tactile sensor has led to fragmented solutions and often force-unaware, sensorless approaches. Building an eFlesh sensor requires four components: a hobbyist 3D printer, off-the-shelf magnets (less than $5), a CAD model, and a magnetometer circuit board. The sensor is 3D printed with magnets embedded in the middle layer. Based on chosen mechanical properties, magnets displace in response to contact forces, measured by a magnetometer underneath. An open-source design tool converts simple OBJ/STL files into 3D-printable STLs. This enables application-specific sensors for robot hands, grippers, quadruped feet, and more. Slip detection generalizes to unseen objects with 95% accuracy. Visual-tactile control policies improve manipulation by 40% over vision-only baselines, achieving 90% success on precise tasks like plug insertion and credit card swiping. All design files, code, trained models, and conversion tools are openly available. Project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

290,100 просмотров • 6 месяцев назад

Now all you need to make tactile sensors is a 3D printer, magnets, and magnetometers! [📍It’s open source!] A new tactile sensor, called e-Flesh, with a simple working principle… measure deformations in 3D printable microstructures. Since e-Flesh is 3D printable, you can make it in all shapes and sizes for applications ranging from foot fall sensing to multifingered hands. This is critical in getting touch not just on fingertips, but all around robots. eFlesh can democratize touch sensing with open-sourced❗️ Make your own: Paper:
0:57

Now all you need to make tactile sensors is a 3D printer, magnets, and magnetometers! [📍It’s open source!] A new tactile sensor, called e-Flesh, with a simple working principle… measure deformations in 3D printable microstructures. Since e-Flesh is 3D printable, you can make it in all shapes and sizes for applications ranging from foot fall sensing to multifingered hands. This is critical in getting touch not just on fingertips, but all around robots. eFlesh can democratize touch sensing with open-sourced❗️ Make your own: Paper:

Ilir Aliu

155,096 просмотров • 9 месяцев назад

What if you could give a robot a sense of touch for around $5? That's what makes eFlesh so interesting. It is a low-cost, 3D-printed tactile sensor that uses magnets and a magnetometer to sense contact, force and slipping. Put it on a robotic gripper and it could tell when an object is starting to slip, then adjust its grip instead of relying only on cameras. Cheap tactile sensing could make it much easier to add touch to robotic hands, grippers and other parts. Would you put a $5 tactile sensor on your robot? What would you make it do? Developed by Venkatesh, Lerrel Pinto and team
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What if you could give a robot a sense of touch for around $5? That's what makes eFlesh so interesting. It is a low-cost, 3D-printed tactile sensor that uses magnets and a magnetometer to sense contact, force and slipping. Put it on a robotic gripper and it could tell when an object is starting to slip, then adjust its grip instead of relying only on cameras. Cheap tactile sensing could make it much easier to add touch to robotic hands, grippers and other parts. Would you put a $5 tactile sensor on your robot? What would you make it do? Developed by Venkatesh, Lerrel Pinto and team

Praveen Kumar Verma

21,321 просмотров • 23 дней назад

Touch was the missing sense in robotics But FlexiTac is here to change that. An open-source, low-cost, scalable tactile sensor that’s: • ~3 min to fabricate • ~$2.5 per unit • Real-time + ML-ready This is what making hardware actually accessible looks like.
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Touch was the missing sense in robotics But FlexiTac is here to change that. An open-source, low-cost, scalable tactile sensor that’s: • ~3 min to fabricate • ~$2.5 per unit • Real-time + ML-ready This is what making hardware actually accessible looks like.

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Tactile sensing is gaining traction, but slowly. Why? Because integration remains difficult. But what if adding touch sensors to your robot was as easy as hitting “print”? Introducing eFlesh: a 3D-printable, customizable tactile sensor. Shape it. Size it. Print it. 🧶👇
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Tactile sensing is gaining traction, but slowly. Why? Because integration remains difficult. But what if adding touch sensors to your robot was as easy as hitting “print”? Introducing eFlesh: a 3D-printable, customizable tactile sensor. Shape it. Size it. Print it. 🧶👇

Raunaq Bhirangi

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Touch: A Game-Changer in Dexterity for Robots You can’t be responsive to the world if you can’t feel it. That’s true for people—and it's just as true for robots. We’re zeroed in on a practical, yet innovative, approach to creating general purpose robots designed to perform physical work. And that means hands, powered not just by vision, but by touch. Vision alone falls short. There are many instances where our vision is obstructed while performing work tasks–like grabbing items out of a bin–you lose line of sight. You need tactile intelligence—texture, pressure, contact—with real-time feedback to move faster, smarter, and with confidence. Watch a full explainer video on Sanctuary AI’s latest touch sensors on our blog: #Robotics #AI #HumanoidRobots #Dexterity #TactileSensing #SanctuaryAI

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53,293 просмотров • 1 год назад

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What can a robot do without vision? We gave our robot a sense of touch and showed it can recognize and retrieve objects with its cameras blindfolded. Introducing Rhoda’s new tactile sensor—it feels pressure, texture, vibration, slip, and temperature, just like your fingertips.

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Robotics doesn't have a model problem. It has a data problem. And underneath that, a deployment problem. Physical AI progresses through real-world interaction. Robots act, fail, recover, and adapt. Without shared standards, every team relearns the same lessons in isolation. Deployment standards determine whether learning compounds or resets. PrismaX is the service layer for physical AI. We run the systems that define how robots get deployed, standardize how interaction data is generated, and integrate human judgment where models fall short, turning fragmented robotics capability into deployable infrastructure. Our Mission: Enable people and robots to work together by setting the standards that allow physical AI systems to learn and improve through real-world operation. Our Vision: A world where intelligent robots are deployed responsibly and at scale, supported by systems that embed human judgment into how intelligence advances. The next chapter for physical AI is about turning real-world operation into scalable intelligence. More soon.

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15,336 просмотров • 5 месяцев назад

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64,774 просмотров • 4 месяцев назад

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152,554 просмотров • 1 год назад

1/🧠Humans are the best robot data source — but video alone misses one thing: force. 2/🙁Tactile gloves capture force — but they're costly and block the real touch manipulation depends on. 3/💪Maybe the future of touch lives on your wrist: surface EMG reads the muscles that cause force — tactile sensing without ever touching a tactile sensor. 4/🔥Want a fully open-source framework — hardware + software — to train your own force-aware learn-from-human-data robot policy? 🚀We introduce ForceBand: Learning Forceful Manipulation with sEMG -- bring force into human videos with sEMG, for force-aware manipulation ⬇️ ✦ Zero-Shot Human-to-Robot Transfer ✦ Force Beyond Vision ✦ Free-Hand Force Sensing ✦ Collect by Anyone, Anytime, Anywhere ✦ Deploy on Any Robot, Any Camera, Any Environment ✦ Open-Source & Low-Cost & Easy-to-Implement Let's squeeze every bit of signal out of human data, and let robots feel the force! 🌐 Website: 📄 Paper: 💻 Code: 🎥 Video: 🧵 1/n
1:48

1/🧠Humans are the best robot data source — but video alone misses one thing: force. 2/🙁Tactile gloves capture force — but they're costly and block the real touch manipulation depends on. 3/💪Maybe the future of touch lives on your wrist: surface EMG reads the muscles that cause force — tactile sensing without ever touching a tactile sensor. 4/🔥Want a fully open-source framework — hardware + software — to train your own force-aware learn-from-human-data robot policy? 🚀We introduce ForceBand: Learning Forceful Manipulation with sEMG -- bring force into human videos with sEMG, for force-aware manipulation ⬇️ ✦ Zero-Shot Human-to-Robot Transfer ✦ Force Beyond Vision ✦ Free-Hand Force Sensing ✦ Collect by Anyone, Anytime, Anywhere ✦ Deploy on Any Robot, Any Camera, Any Environment ✦ Open-Source & Low-Cost & Easy-to-Implement Let's squeeze every bit of signal out of human data, and let robots feel the force! 🌐 Website: 📄 Paper: 💻 Code: 🎥 Video: 🧵 1/n

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53,753 просмотров • 4 месяцев назад