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Google DeepMind Unveils Gemini Robotics AI for Complex Tasks

Google DeepMind's new AI models empower robots to interact and perform complex tasks more effectively. This could revolutionize automation in various industries.

There is a poster in which there is a robot, there are animated persons who are operating the...
There is a poster in which there is a robot, there are animated persons who are operating the robot, there are artificial birds flying in the air, there are planets, there is ground, there are stars in the sky, there is watermark, there are numbers and texts.

Google DeepMind Unveils Gemini Robotics AI for Complex Tasks

Google DeepMind has revealed two groundbreaking AI models for robots, Gemini Robotics and Gemini Robotics-ER. These models aim to enhance robots' understanding of their environment and improve their ability to perform complex tasks without prior training.

Gemini Robotics combines visual, linguistic, and physical actions, enabling robots to interact with their surroundings in a more comprehensive manner. Meanwhile, Gemini Robotics-ER is an advanced visual language model designed to understand complex and dynamic environments.

In 2023, select testers such as Boston Dynamics, Agility Robotics, and Enchanted Tools evaluated these models. The results demonstrated significant advancements in generalization, interactivity, and dexterity for precise physical tasks. These developments could drive automation in various industries, enhancing efficiency and productivity.

Google DeepMind is also focused on safety. The company has developed a multi-layered approach for safety in its AI models and is publishing new benchmarks and frameworks to advance safety research in the industry. Furthermore, DeepMind is collaborating with Apptronik to develop the next generation of humanoid robots, potentially opening up new possibilities for responsive and robust robots that can adapt to environmental changes.

Google DeepMind's Gemini Robotics and Gemini Robotics-ER models mark a significant step forward in robotics AI. With these advancements, robots could soon tackle complex tasks more efficiently and safely, paving the way for innovative applications across industries.

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