Real-Time Robotics Solutions with Google Gemini

Imagine smarter robots for your business. New research from Google puts advanced Gemini AI directly into robots, which can now understand complex instructions, perform intricate physical tasks with dexterity (like assembly) and adapt to new objects or situations in real time. The paper introduces "Gemini Robotics," a family of AI models based on Google's Gemini 2.0, designed specifically for robotics. They present Vision-Language-Action (VLA) models capable of direct robot control, performing complex, dexterous manipulation tasks smoothly and reactively. The models demonstrate generalization to unseen objects and environments and can follow open-vocabulary instructions. It also introduces "Gemini Robotics-ER" for enhanced embodied reasoning (spatial/temporal understanding, detection, prediction), bridging the gap between large multimodal models and physical robot interaction. Here's why this matters: At scale, this will unlock more flexible, intelligent automation for the future of manufacturing, logistics, warehousing, and more, potentially boosting efficiency and enabling tasks previously too complex for robots as we've imagined in the past. Very, very promising! (Link in the comments.)

Google DeepMind has launched an on-device version of its Gemini Robotics AI, allowing robots to operate without an internet connection. This smaller, more efficient vision-language-action (VLA) model retains many of the dexterous capabilities of the original, enabling robots to generalize tasks and respond to commands with minimal training (50–100 demonstrations). Though not as powerful as the cloud-enabled flagship, the offline model is surprisingly capable and ideal for low-connectivity or high-security environments. It has been adapted to various robots, including Apptronik’s Apollo humanoid and Franka’s bi-arm robot. Google is also releasing an SDK to let developers evaluate and fine-tune the model — a first for its VLA tech. Initially, access is limited to trusted testers. Read more: https://lnkd.in/dFs5Sw5P