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Embodied AI

AI enters the physical world: tracking advances in humanoid robots, embodied foundation models, and real-world manipulation capabilities.

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News collected over the past year · Latest 3 entries · Collection time is used when the source has no publication date

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Oct 17Sat
  1. Google Research64

    Grounding AI agents in biological reality: Building blocks for autonomous wet labs

    Google Research released the VERID framework, connecting AI agents to wet labs via semantic digital twins of lab workcells. It offers four capabilities: real-time 3D state tracking, virtual dry runs, hardware safety checks, and synchronized video and action logs, built on the open-source PyLabRobot.

    Why it matters: Google Research has published the VERID digital twin framework along with two closed-loop experiment results, letting readers see how AI agents plug into real wet labs and validate hypotheses.

Oct 14Wed
  1. Google DeepMind63

    Gemini 4 Argon for Robotics

    Google DeepMind released Gemini 4 Argon as a general physical reasoning model, scoring 87% on the Embodied Reasoning (ERQA) benchmark, which tests understanding of 3D physical space problems, using pure reasoning to surpass other frontier models.

    Why it matters: The official post gives the 87% ERQA benchmark score plus concrete examples covering robot control, Real2Sim, data labeling and self-improvement, so readers can gauge its fit for robotics workflows.

Oct 1Thu
Jul 30Thu
  1. Google DeepMind67

    Gemini Robotics ER 2: powering robotics with video understanding, task orchestration, and multi-robot collaboration

    Google DeepMind released Gemini Robotics ER 2, positioned as a high-level embodied reasoning model for robots that can orchestrate low-level control interfaces such as VLA models and call tools like Google Search.

    Why it matters: Official benchmark numbers on progress classification and temporal grounding, plus multi-robot collaboration demos, let readers evaluate how usable this embodied reasoning model is for real-world robot orchestration.

Jul 28Tue
  1. Google DeepMind65

    Gemini Robotics 2 brings whole body intelligence to robots

    Google DeepMind released Gemini Robotics 2, comprising three models — a VLA model, the Gemini Robotics ER 2 embodied reasoning model, and On-Device 2 that runs locally — enabling whole-body control, dexterous manipulation, and multi-robot collaboration for humanoid robots.

    Why it matters: The official release explains the division of roles among the three models, the data cost of adapting to new robots, and safety benchmarks, letting readers judge the path to real-world deployment of robotics AI.