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Open-source dexterous hands with fingertip sensors! 🪬 ORCA Dexterity just released three dexterous hand models. Their mission: is to democratize robotic hand dexterity. They're sharing progress on exceptional, low-cost hardware and a software layer from low-level control to robotic hand learning. This is the open-source approach to dexterous manipulation....

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Lukas Ziegler

61,407 subscribers

38,249 Aufrufe • vor 6 Monaten •via X (Twitter)

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7 Kommentare

Profilbild von hewaterGG
hewaterGGvor 6 Monaten

@orcahand 83 taxels per finger with force detection at this price point is genuinely groundbreaking. The 700g weight with practical payload makes it accessible for real research. Democratizing dexterity is exactly what the field needs.

Profilbild von Sam Saied IQ
Sam Saied IQvor 6 Monaten

@orcahand

Profilbild von Damian @ The Lighthouse 🤖💡🏠
Damian @ The Lighthouse 🤖💡🏠vor 6 Monaten

@orcahand Badass.

Profilbild von Jeff-Edge
Jeff-Edgevor 6 Monaten

@orcahand I'm confused ✋🏻 That looks like an expensive hand... For the people??

Profilbild von Morsenstein
Morsensteinvor 6 Monaten

@orcahand When are we coupling it to disabled people without hands?

Profilbild von squf
squfvor 6 Monaten

@orcahand ooooh look at that, very nice. robotic hands are getting very good & affordable!

Profilbild von LumiPad
LumiPadvor 6 Monaten

@orcahand

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Feeling what a robot feels is becoming real! 🫰 Fluid Reality just ran its first full end-to-end touch teleoperation system, and the demo shows why high-resolution haptics might be the missing piece in robot control. A 22 mm fingertip display with 32 independently actuated “bubbles” was mapped directly to tactile sensors on a robot hand. 🫧 Three fingers streamed real-time touch data robot → human, giving the operator actual contact feedback instead of waving their hands blind, like most teleop systems today. It’s still early, but this is a real step toward dexterous ops and high-quality data for training Physical AI systems. Companies involved: Samsung Electronics, Alt-Bionics, Inc. (the robot hand), MANUS™ (hand tracking), and Sensible Robotics (fingertip sensors) Touch isn’t a nice-to-have in robotics. It’s the difference between manipulation that works in the real world P.S. Guess how many touch receptors we humans, have in our hand! :) ~~ ♻ Join the weekly robotics newsletter, and never miss any news →

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RoboHub🤖

24,848 Aufrufe • vor 1 Monat

🎙️ Excited to introduce one of my favorite projects from the past year: TeleDexter, from the BIGAI dexterity team. It’s a stable, human-level dexterous teleoperation system and a suite of autonomous policies trained with it. Pen spinning, complex in-hand reorientation, and long-horizon tool use—once seen as the holy grail of manipulation—are now unlocked. 🧵👇 The hardware is already here; we have some incredible high-DoF robotic hands. The bottleneck? The controller. Most current systems are stuck in "quasi-static" grasping mode. Meanwhile, dynamic in-hand dexterity has remained severely limited. 🧠 To unlock the massive capabilities of human-like hands, we need to build an excellent "cerebellum" for dexterous hands. TeleDexter solves this with a novel co-tracking approach: it simultaneously tracks both human hand kinematics and object states, beautifully bridging the gap between human intent and robotic control. In order to train a better co-tracking policy that works robustly in the real world, we designed : (1) a hybrid reward design that combines consecutive goal reaching and dense tracking, (2) an action masking strategy during training that enhances sim2real performance, (3) a dexterous curriculum for learning the long-horizon interactions. Each design is inspired by numerous trials and countless real-world experiments. We’ve synthesized all the system details, engineering challenges, and core insights into our latest post. If you're interested in the future of dexterous manipulation, grab a coffee and check it out (9-min read): If you have more time, check out the paper:
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🎙️ Excited to introduce one of my favorite projects from the past year: TeleDexter, from the BIGAI dexterity team. It’s a stable, human-level dexterous teleoperation system and a suite of autonomous policies trained with it. Pen spinning, complex in-hand reorientation, and long-horizon tool use—once seen as the holy grail of manipulation—are now unlocked. 🧵👇 The hardware is already here; we have some incredible high-DoF robotic hands. The bottleneck? The controller. Most current systems are stuck in "quasi-static" grasping mode. Meanwhile, dynamic in-hand dexterity has remained severely limited. 🧠 To unlock the massive capabilities of human-like hands, we need to build an excellent "cerebellum" for dexterous hands. TeleDexter solves this with a novel co-tracking approach: it simultaneously tracks both human hand kinematics and object states, beautifully bridging the gap between human intent and robotic control. In order to train a better co-tracking policy that works robustly in the real world, we designed : (1) a hybrid reward design that combines consecutive goal reaching and dense tracking, (2) an action masking strategy during training that enhances sim2real performance, (3) a dexterous curriculum for learning the long-horizon interactions. Each design is inspired by numerous trials and countless real-world experiments. We’ve synthesized all the system details, engineering challenges, and core insights into our latest post. If you're interested in the future of dexterous manipulation, grab a coffee and check it out (9-min read): If you have more time, check out the paper:

Siyuan Huang

12,602 Aufrufe • vor 2 Monaten

Awesome Robotics! 💾 Building your own robot just got a lot easier. MathWorks have released an open-source GitHub repository packed with robotics resources for anyone interested in getting hands-on. The repo includes examples for robot arms, ground vehicles, and drones, with projects that show how to connect with ROS and ROS2 or even deploy Simulink models directly as ROS nodes. There are also more advanced demos, like modeling off-road environments and testing navigation algorithms in photorealistic simulations. Everything is well-documented, with tutorials and links that make it easy to go from concept to prototype. 📑 Whether you’re a student, researcher, or just curious, there’s material here for every level. And since it’s an open community project, you can not only explore but also share your own contributions. For anyone looking to learn robotics by doing, this is a solid place to start! Here’s the link: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
1:08

Awesome Robotics! 💾 Building your own robot just got a lot easier. MathWorks have released an open-source GitHub repository packed with robotics resources for anyone interested in getting hands-on. The repo includes examples for robot arms, ground vehicles, and drones, with projects that show how to connect with ROS and ROS2 or even deploy Simulink models directly as ROS nodes. There are also more advanced demos, like modeling off-road environments and testing navigation algorithms in photorealistic simulations. Everything is well-documented, with tutorials and links that make it easy to go from concept to prototype. 📑 Whether you’re a student, researcher, or just curious, there’s material here for every level. And since it’s an open community project, you can not only explore but also share your own contributions. For anyone looking to learn robotics by doing, this is a solid place to start! Here’s the link: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

59,669 Aufrufe • vor 4 Monaten

A brand new quadruped on the market! 🐾 Unitree just launched their new quadruped robot. They called it a human companion. So what's inside? 90 Nm torque handles climbing and challenging terrain. 4+ hours runtime covers full shifts without recharging. IP54 rating works in rain and dust. 15 kg payload fits inspection equipment and sensors, and 13 km range. Open secondary development is critical for faster adoption. It's great to see another quadruped that is available for wider public. Couldn't find pricing information though. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:40

A brand new quadruped on the market! 🐾 Unitree just launched their new quadruped robot. They called it a human companion. So what's inside? 90 Nm torque handles climbing and challenging terrain. 4+ hours runtime covers full shifts without recharging. IP54 rating works in rain and dust. 15 kg payload fits inspection equipment and sensors, and 13 km range. Open secondary development is critical for faster adoption. It's great to see another quadruped that is available for wider public. Couldn't find pricing information though. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

37,281 Aufrufe • vor 7 Monaten

Building a robot dog? This ESP32 board was made for it. Petoi Biboard is an ESP32-based development board designed for multi-joint robots, with up to 12 PWM servo outputs built right in. It also includes an onboard IMU for balance and motion sensing, wireless connectivity, expansion interfaces and audio features. The BiBoard V1 adds features such as a voice command module, speaker and Raspberry Pi support. What makes it especially interesting is the software ecosystem. The board works with Petoi's open-source OpenCat framework, giving developers a solid starting point for building quadruped robots instead of creating everything from scratch. An ESP32, 12 servos and open-source robotics software. That's a pretty good starting point for building your own robot dog.
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Building a robot dog? This ESP32 board was made for it. Petoi Biboard is an ESP32-based development board designed for multi-joint robots, with up to 12 PWM servo outputs built right in. It also includes an onboard IMU for balance and motion sensing, wireless connectivity, expansion interfaces and audio features. The BiBoard V1 adds features such as a voice command module, speaker and Raspberry Pi support. What makes it especially interesting is the software ecosystem. The board works with Petoi's open-source OpenCat framework, giving developers a solid starting point for building quadruped robots instead of creating everything from scratch. An ESP32, 12 servos and open-source robotics software. That's a pretty good starting point for building your own robot dog.

Praveen Kumar Verma

76,668 Aufrufe • vor 22 Tagen

Dexterous hands are one of the biggest challenges in robotics, with even Elon Musk noting their development accounts for half of a humanoid robot's total work. A new approach from the Y-Hand M1 bionic hand may be a significant step forward. Based on an international first-of-its-kind "bionic tension-compression theory," the M1 replaces traditional rigid hinges with a 6-DoF joint system and uses self-developed magnetic artificial muscles. This design allows it to perform complex, human-like tasks, including: ► Mastering all 33 Feix dexterous grasp categories. ► Precisely twirling playing cards and threading a needle with subtle human-like adjustments. ► Smoothly twisting bottle caps and turning book pages. The team behind the M1 is already working on the next-gen Y-Hand M3, aiming for around 70 degrees of freedom, believing that robotic hands may soon reach or even exceed human-level dexterity.
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Dexterous hands are one of the biggest challenges in robotics, with even Elon Musk noting their development accounts for half of a humanoid robot's total work. A new approach from the Y-Hand M1 bionic hand may be a significant step forward. Based on an international first-of-its-kind "bionic tension-compression theory," the M1 replaces traditional rigid hinges with a 6-DoF joint system and uses self-developed magnetic artificial muscles. This design allows it to perform complex, human-like tasks, including: ► Mastering all 33 Feix dexterous grasp categories. ► Precisely twirling playing cards and threading a needle with subtle human-like adjustments. ► Smoothly twisting bottle caps and turning book pages. The team behind the M1 is already working on the next-gen Y-Hand M3, aiming for around 70 degrees of freedom, believing that robotic hands may soon reach or even exceed human-level dexterity.

RoboHub🤖

64,560 Aufrufe • vor 1 Jahr