How Gemini Robotics 2 Handles Delicate Real-World Tasks

Google DeepMind2m 17s
A flat robot gripper holding a light bulb beside the words Dexterity Gets Real
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    Google DeepMind explains that useful robots need the hand dexterityDexterous robotic manipulation is precise, adaptable control of hands or grippers for objects that require coordinated motion, force and adjustment. people normally take for granted. A multi-fingered robot handAn end effector is the tool or device at the working end of a robot that interacts with objects or the surrounding environment. may need to coordinate 22 jointsA robot policy is the decision-making function that maps observations and goals to actions a robot should take in its environment., while simpler grippers still require precise contact and an understanding of an object's orientation in three-dimensional space.

    The demonstrations ask a humanoid robot to place grapes in a zip bag and close it, unscrew a spherical light bulb, reorient tools before placing them in a kit, and tie off a trash bag. Each example combines different demands such as twisting, pushing, pulling, pinching and coordinating both arms.

    The researchers present dexterity as a prerequisite for handling complex objects outside a laboratory. They highlight potential applications where robots could manipulate hazardous material or complete other intricate work without exposing people to the same risk. Background music and routine demonstration praise are omitted.

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    A flat robot gripper holding a light bulb beside the words Dexterity Gets Real With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 30 July 2026 and duration 2m 17s.

    Gemini Robotics 2 is tested on delicate physical tasks that demand coordinated joints, precise contact and spatial reasoning, from closing a zip bag and turning a bulb to placing tools and tying a knot.