Tag
Google unveiled Gemini Robotics 2.0, a trio of AI sub-models for robots that improve dexterity, real-time video understanding, and robot collaboration, with the embodied reasoning model publicly available to developers.
Google DeepMind released Gemini Robotics 2, an AI model that controls entire humanoid robots with whole-body motions and improved dexterity, along with updates to embodied reasoning and on-device models for multi-robot coordination and safety.
Gemini Robotics 2 is Google's AI brain for next-generation robots, showcased on Product Hunt.
Apptronik expands its Robot Park facility and introduces Apollo 2 humanoid robot, partnering with Google DeepMind to collect real-world data for training Gemini Robotics AI models, aiming to accelerate scalable humanoid robot deployment.
Google DeepMind introduces Gemini Robotics On-Device, an efficient VLA model optimized to run locally on robotic devices, enabling low-latency operation and offline capability while maintaining strong dexterous manipulation and task generalization. The model can be fine-tuned with as few as 50-100 demonstrations and comes with an SDK for developers.
Gemini Robotics 2 from Google DeepMind demonstrates advanced physical dexterity for robots using different end effectors, enabling more useful robotic capabilities.
Google DeepMind's Gemini Robotics 2 expands physical AI to whole-body control, enabling humanoid robots to perform tasks requiring reaching, bending, and balancing in cluttered spaces.