aiqbench analysis
Google DeepMind's update to Gemini Robotics marks a significant shift from partial-body control to full whole-body coordination for humanoid systems. By enabling complex dexterity and multi-step reasoning across the entire robot form factor, this advancement addresses critical gaps in real-world task execution and safety protocols. This development represents a pivotal step toward deploying autonomous robots capable of handling intricate household or industrial environments without human intervention.
Google DeepMind’s new AI model can control a robot’s entire body

Apptronik’s Apollo 2 robot takes a baseball glove off of a shelf. | Image: Google Google DeepMind says the latest version of its Gemini Robotics AI model can "control entire humanoid robots." While the previous model focused on controlling a humanoid robot's upper body, Gemini Robotics 2 now supports "whole-body motions" ranging from its feet to fingertips, according to an announcement on Thursday. The new model will allow humanoid robots to perform a wider range of actions, as it allows them to walk, crouch, stretch, and manipulate objects. Videos shared by Google show how Apptronik's Apollo 2 robot can bend over to pick up a watering can, as well as find and take specific items off a shelf. Though Google DeepMind not … Read the full story at The Verge.
Google DeepMind says the latest version of its Gemini Robotics AI model can “control entire humanoid robots.” While the previous model focused on controlling a humanoid robot’s upper body, Gemini Robotics 2 now supports “whole-body motions”…
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