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Learn How To Build a Gemini-Powered Robotics Simulator in the Browser with MuJoCo WASM. MuJoCo (WebAssembly) + Three.js + Gemini ER Thanks for sharing, Omar Sanseviero! 📍Tutorial: Demo: —— if it matters in AI or Robotics you'll see it here first:

Ilir Aliu

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17,686 次观看 • 6 个月前 •via X (Twitter)

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We built a high-fidelity, cable-driven robotic hand in MuJoCo — accurately reproducing the full internal tendon system 🤖🧩 It’s now officially part of the MuJoCo Menagerie. On top of it, we developed a zero-shot RL training & real-world deployment pipeline based on MuJoCo Playground. Here’s a demo of Z-axis rotation, powered by tendon actuation ⚙️👇 💻 GitHub: 🔗 Learn more: #robotics #AI #reinforcementlearning #mujoco #opensource #sim2real #dexteroushand

We built a high-fidelity, cable-driven robotic hand in MuJoCo — accurately reproducing the full internal tendon system 🤖🧩 It’s now officially part of the MuJoCo Menagerie. On top of it, we developed a zero-shot RL training & real-world deployment pipeline based on MuJoCo Playground. Here’s a demo of Z-axis rotation, powered by tendon actuation ⚙️👇 💻 GitHub: 🔗 Learn more: #robotics #AI #reinforcementlearning #mujoco #opensource #sim2real #dexteroushand

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The uncomfortable truth in robotics: Better tech does not win. Execution does. A small French team raised $20M and deployed in 100+ factories with ZERO hardware or manufacturing background. Here is how they did it 👇 [If you build robotics, save this thread. 🧵]

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Google DeepMind is absolutely on fire 🔥 they have just launched Gemini Robotics-ER 1.5 their first broadly available robotics AI model designed to act as the "high-level reasoning brain" for robots. This is Google's first Gemini Robotics model made available to all developers. - Available in preview through Google AI Studio and Gemini API. - First thinking model for robots interacting with the physical world. Handles complex commands and orchestrates sophisticated robotic behaviors. - Key capabilities: Advanced spatial reasoning, multi-step task planning, Google Search integration, precise 2D pointing, object reasoning, and video analysis. - Flexible thinking budget lets developers tune speed vs accuracy. Can think longer for complex tasks or respond quickly for reactive operations. - Enhanced safety filters refuse dangerous tasks and recognize physical limits.

Google DeepMind is absolutely on fire 🔥 they have just launched Gemini Robotics-ER 1.5 their first broadly available robotics AI model designed to act as the "high-level reasoning brain" for robots. This is Google's first Gemini Robotics model made available to all developers. - Available in preview through Google AI Studio and Gemini API. - First thinking model for robots interacting with the physical world. Handles complex commands and orchestrates sophisticated robotic behaviors. - Key capabilities: Advanced spatial reasoning, multi-step task planning, Google Search integration, precise 2D pointing, object reasoning, and video analysis. - Flexible thinking budget lets developers tune speed vs accuracy. Can think longer for complex tasks or respond quickly for reactive operations. - Enhanced safety filters refuse dangerous tasks and recognize physical limits.

AshutoshShrivastava

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We invite you to sign The Promise of the Fremen, a commitment to build the future of AI & Robotics together, onchain. We believe in crypto, AI, Robotics, open access and responsibility. We sign this manifesto to register it for eternity. Sign with us!

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Paul Bakaus

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The Bugged Dev

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The Bugged Dev

54,391 次观看 • 7 个月前

Yeah! Teleoperation on low-cost robot arm from Tau Robotics working natively at 200Hz with and a very simple code. We are working a video tutorial to make it easy for anyone to reproduce our setup (in simulation or with a real robot). Stay tuned 😋

Yeah! Teleoperation on low-cost robot arm from Tau Robotics working natively at 200Hz with and a very simple code. We are working a video tutorial to make it easy for anyone to reproduce our setup (in simulation or with a real robot). Stay tuned 😋

Remi Cadene

31,497 次观看 • 2 年前

🩷 Planning a Valentine's date night to remember? With Gemini, you can save both you and your partner's preferences for restaurants, gifts, music, activities, and favorite date spots for it to keep in mind. Go to Settings > Saved Info to add, remove, or adjust any of your preferences. Then, ask Gemini to plan a romantic and personalized date night you'll both love. Try it out →

🩷 Planning a Valentine's date night to remember? With Gemini, you can save both you and your partner's preferences for restaurants, gifts, music, activities, and favorite date spots for it to keep in mind. Go to Settings > Saved Info to add, remove, or adjust any of your preferences. Then, ask Gemini to plan a romantic and personalized date night you'll both love. Try it out →

Google Gemini

18,040 次观看 • 1 年前

Robots can now reconstruct 3D scenes in real time from a single RGB camera. [📍 Projects page + paper] No depth sensor. No retraining. 30 FPS. Researchers at the Imperial College London introduced KV-Tracker, a training-free method that makes heavy models like π³ and Depth Anything 3 fast enough for real-time tracking. The idea is simple. These models use global self-attention, which is powerful but computationally expensive. KV-Tracker caches the key and value pairs from selected keyframes and reuses them for new frames. That cache becomes an implicit scene representation. Result: • Up to 30 FPS • 10 to 15x speedup • Accurate 6-DoF tracking on benchmarks like TUM RGB-D and 7-Scenes • Works with monocular RGB only It also supports object-level tracking with masks and allows saving the KV-cache for later reuse. For robotics, this reduces hardware constraints and moves real-time 3D perception closer to practical deployment. Credit to Marwan Taher (Marwan Taher) at Imperial’s Dyson Robotics Lab and many others who contributed to this! 📍 Save projects page + paper for later: Video: ——- if it matters in AI or Robotics you'll read it here first:

Robots can now reconstruct 3D scenes in real time from a single RGB camera. [📍 Projects page + paper] No depth sensor. No retraining. 30 FPS. Researchers at the Imperial College London introduced KV-Tracker, a training-free method that makes heavy models like π³ and Depth Anything 3 fast enough for real-time tracking. The idea is simple. These models use global self-attention, which is powerful but computationally expensive. KV-Tracker caches the key and value pairs from selected keyframes and reuses them for new frames. That cache becomes an implicit scene representation. Result: • Up to 30 FPS • 10 to 15x speedup • Accurate 6-DoF tracking on benchmarks like TUM RGB-D and 7-Scenes • Works with monocular RGB only It also supports object-level tracking with masks and allows saving the KV-cache for later reuse. For robotics, this reduces hardware constraints and moves real-time 3D perception closer to practical deployment. Credit to Marwan Taher (Marwan Taher) at Imperial’s Dyson Robotics Lab and many others who contributed to this! 📍 Save projects page + paper for later: Video: ——- if it matters in AI or Robotics you'll read it here first:

Ilir Aliu

53,992 次观看 • 4 个月前

I just created my portfolio with Gemini But…. I can’t change the pictures to what I want. I’m doing some rebranding and I’m starting with my portfolio. I decided to use Gemini to build it, and it actually gave me something really cute like you’ll see in the video below. But I still can’t change the pictures to my own. I’ve tried prompting it. I’ve tried editing the source code myself 😫 But it’s not working. I need to figure this out by fire, by force, by YouTube, or by ChatGPT. Somebody should wish me luck. If you’ve used Gemini to build a website before and successfully changed the images, please come to my rescue.

I just created my portfolio with Gemini But…. I can’t change the pictures to what I want. I’m doing some rebranding and I’m starting with my portfolio. I decided to use Gemini to build it, and it actually gave me something really cute like you’ll see in the video below. But I still can’t change the pictures to my own. I’ve tried prompting it. I’ve tried editing the source code myself 😫 But it’s not working. I need to figure this out by fire, by force, by YouTube, or by ChatGPT. Somebody should wish me luck. If you’ve used Gemini to build a website before and successfully changed the images, please come to my rescue.

Kemi

15,748 次观看 • 9 个月前

Building multi-agent systems is powerful, but governing them at scale? That's the real challenge. With Agent Registry in the Gemini Enterprise Agent Platform, IT admins now have a unified catalog for managing AI agents. Learn more →

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Google Cloud

13,538 次观看 • 2 个月前