Google DeepMind debuts Gemini Robotics 2 model series for humanoid robots
Alphabet Inc.’s artificial intelligence research lab today debuted a family of models optimized to power humanoid robots.
Google DeepMind says that the Gemini Robotics 2 series enables multiple autonomous machines to collaborate on a task. According to the company, it can automate chores that comprise hundreds of steps.
Many humanoid robots feature a so-called dual-system AI architecture. That means they use two AI models to carry out work. The first model, which is known as an embodied reasoning algorithm, crafts a high-level plan for how to perform a task. It then sends the plan to a so-called VLA model, which turns the instructions into low-level commands for the host robot’s motors.
The main highlight of the Gemini Robotics 2 series is an embodied reasoning algorithm called Gemini Robotics ER 2. It enables users to describe the task that a humanoid robot should perform in natural language. According to Google, ER 2 supports tasks that comprise hundreds of steps and take several minutes to complete.
