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#具身智能

Today 0 items
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 9Fri
Sep 24Thu
Sep 22Tue
  2. NVIDIA Blog30

    Why Deploying Physical AI at Scale Demands Safety at Every Layer

    NVIDIA explains that deploying Physical AI (autonomous vehicles, humanoids, and industrial robots) at scale requires a safety framework spanning hardware, software, AI behavior, and operating environments. ABI Research projects 49 million L3-L5 autonomous vehicles by 2035, and Omdia estimates about 60 million industrial robots will be deployed from 2026 to 2035.

Aug 14Fri
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.

Jul 27Mon
  1. Hugging Face Blog55

    NVIDIA Cosmos-H-Dreams: Bringing Real-Time Generative Simulation to Surgical Robotics

    NVIDIA released Cosmos-H-Dreams, a real-time, action-conditioned generative simulator for surgical robots that distills Cosmos-H-Surgical-Simulator into a causal, few-step student model, achieving about 160 frames per second of interactive speed on a single NVIDIA RTX PRO 6000 via the FlashDreams streaming inference library, with closed-loop control by humans or policies.

Jul 21Tue
Jul 8Wed
  1. Mistral AI49

    Introducing Robostral Navigate

    Mistral has released its first embodied navigation model, Robostral Navigate, an 8B-parameter model built fully in-house and trained on simulation data. Using only a single ordinary RGB camera, with no LiDAR or depth sensors, it can navigate according to natural language instructions.

Jul 1Wed
  1. Berkeley AI Research33

    2026 BAIR Graduate Showcase

    The Berkeley AI Research (BAIR) lab releases its 2026 PhD graduate showcase, highlighting graduates such as Baifeng Shi, Charlie Snell, and Hanlin Zhu and their work in robotics and embodied intelligence, LLM reasoning and test-time scaling, generative models, AI safety and human-AI interaction, and speech and medical AI.

Jun 9Tue
Apr 13Mon