HomeGoogle Launches On-Device Gemini AI Model for Robots
Google DeepMind Unveils Gemini Robotics On-Device for Offline Robot Control
Google DeepMind just dropped an exciting update in the robotics space—Gemini Robotics On-Device, a new language model that lets robots perform tasks without needing an internet connection. This builds on their earlier Gemini Robotics model (released in March) but with a key upgrade: local processing.
Developers can now fine-tune robot movements using natural language prompts, making it easier to adapt robots for different tasks. Google claims its performance is nearly on par with its cloud-based counterpart and outperforms other on-device models (though they didn’t specify which ones).
Image Credits: Google Real-World Robot Skills: From Laundry to Assembly Lines
In demos, robots running this model successfully:
- Unzipped bags
- Folded clothes
- Adapted to new objects (like assembling parts on an industrial belt)
Originally trained for ALOHA robots, the model was later adapted to work on:
- Franka FR3 (a bi-arm industrial robot)
- Apptronik’s Apollo humanoid
Gemini Robotics SDK: Training Robots with Demonstrations
Google also announced a Gemini Robotics SDK, allowing developers to train robots using 50-100 task demonstrations in the MuJoCo physics simulator. This could speed up robot learning for real-world applications.
The Bigger Picture: AI’s Push into Robotics
Google isn’t alone in this race:
- Nvidia is building foundation models for humanoids
- Hugging Face is working on open models—and actual robots
- RLWRLD (a Korean startup) is developing foundational models for robotics
The future of AI-powered robots is heating up—and it’s happening offline, on-device, and in real time.
Want more tech insights?
Join us at TechCrunch Disrupt in Boston, MA (July 15) for deep dives into AI, robotics, and venture trends. Save $200+ on All Stage passes and connect with leaders from Precursor Ventures, NEA, Index Ventures, and Underscore VC.
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Comments (4)
0/500
![FrankLopez]()
So robots are getting offline brain upgrades now? Wonder if they'll still ask for Wi-Fi passwords though 🤖🤔
![JuanLewis]()
Super cool that robots can now think offline with Gemini! Imagine them zipping around without Wi-Fi, making decisions on the fly. Can’t wait to see this in action at home! 🤖
![RonaldNelson]()
This is wild! Robots running Gemini AI offline? Google’s pushing the future hard. Can’t wait to see how this shakes up industries, but I’m low-key worried about robots getting too smart too fast. 😅
![BrianRoberts]()
Super cool to see Google pushing offline AI for robots with Gemini! 🤖 Makes me wonder how soon we’ll have fully autonomous helpers at home. Exciting times!
Google DeepMind Unveils Gemini Robotics On-Device for Offline Robot Control
Google DeepMind just dropped an exciting update in the robotics space—Gemini Robotics On-Device, a new language model that lets robots perform tasks without needing an internet connection. This builds on their earlier Gemini Robotics model (released in March) but with a key upgrade: local processing.
Developers can now fine-tune robot movements using natural language prompts, making it easier to adapt robots for different tasks. Google claims its performance is nearly on par with its cloud-based counterpart and outperforms other on-device models (though they didn’t specify which ones).
Real-World Robot Skills: From Laundry to Assembly Lines
In demos, robots running this model successfully:
- Unzipped bags
- Folded clothes
- Adapted to new objects (like assembling parts on an industrial belt)
Originally trained for ALOHA robots, the model was later adapted to work on:
- Franka FR3 (a bi-arm industrial robot)
- Apptronik’s Apollo humanoid
Gemini Robotics SDK: Training Robots with Demonstrations
Google also announced a Gemini Robotics SDK, allowing developers to train robots using 50-100 task demonstrations in the MuJoCo physics simulator. This could speed up robot learning for real-world applications.
The Bigger Picture: AI’s Push into Robotics
Google isn’t alone in this race:
- Nvidia is building foundation models for humanoids
- Hugging Face is working on open models—and actual robots
- RLWRLD (a Korean startup) is developing foundational models for robotics
The future of AI-powered robots is heating up—and it’s happening offline, on-device, and in real time.
Want more tech insights?
Join us at TechCrunch Disrupt in Boston, MA (July 15) for deep dives into AI, robotics, and venture trends. Save $200+ on All Stage passes and connect with leaders from Precursor Ventures, NEA, Index Ventures, and Underscore VC.
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So robots are getting offline brain upgrades now? Wonder if they'll still ask for Wi-Fi passwords though 🤖🤔
Super cool that robots can now think offline with Gemini! Imagine them zipping around without Wi-Fi, making decisions on the fly. Can’t wait to see this in action at home! 🤖
This is wild! Robots running Gemini AI offline? Google’s pushing the future hard. Can’t wait to see how this shakes up industries, but I’m low-key worried about robots getting too smart too fast. 😅
Super cool to see Google pushing offline AI for robots with Gemini! 🤖 Makes me wonder how soon we’ll have fully autonomous helpers at home. Exciting times!
