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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.

  3. TechCrunch · AI32

    Physical AI is more than robots, says the Nvidia veteran now investing in it

    Amulya Vishwanath, who spent seven years in robot platform product marketing at Nvidia, founded early-stage firm Techable VC to invest in physical AI. She says robotics is in its "Lego era," with building blocks like actuators, grippers, software and safety standards still being rebuilt, rather than nearing a "ChatGPT moment." She also defines physical AI as broader than robots, covering molecules, materials, drugs and machines on factory lines.

Oct 16Fri
Oct 14Wed
  1. TechCrunch · AI25

    TechCrunch Disrupt 2026: Day 2

    TechCrunch Disrupt 2026's second day was held at Moscone West in San Francisco, where the Expo Hall brought together 300+ startups and attendees could use AI matchmaking to connect with 10,000+ founders, investors and tech leaders.

  5. 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 12Mon
Oct 10Sat
Oct 9Fri
  2. The Verge · AI46

    California is trying to shut down robot vs. human cage matches

    The California State Athletic Commission sent a cease-and-desist letter to startup Rek, calling its September 18 match between human Frankie LaPenna and a humanoid robot 'unapproved' and demanding it hold no more unapproved boxing or MMA-style events involving humans in California. The robot was piloted by a human through a 'remote virtual reality system,' and its body appears to come from EngineAI. Rek's next event, scheduled for Friday, will pit two armed robots against each other.

Oct 8Thu
  1. Ars Technica · AI38

    Nvidia's big bet on physical AI aims for safer robotaxis, humanoid robots

    Nvidia's Halos operating system targets physical AI, continuously monitoring every hardware module and software library to quickly detect failures and isolating safety-critical compute workloads. The suite also includes the Holoscan Sensor Bridge, virtual environment simulation testing, and a safety inspection lab program, and has expanded from autonomous driving to robotics. Because safety definitions differ vastly between a robot vacuum and a warehouse forklift, Halos offers a programmable interface so developers can customize safety features without breaking the underlying infrastructure.

Oct 1Thu
Sep 28Mon
  1. Import AI46

    Import AI 474: Platonic mindspace; TPUs in space; Zhipu starts an outer RSI loop

    Import AI issue 474 covers three items: Michael Levin has published a paper proposing that the relationship between mind and brain is like that between mathematical patterns and physical outcomes—the mind is a non-physical pattern from "Platonic space" and the body is merely its interface into the physical world, citing experiments with xenobots, anthrobots, and more as evidence. The issue also discusses how robotics is preparing for an LLM-like moment but still lacks a general-purpose algorithm, and Zhipu AI's progress in starting an outer RSI (recursive self-improvement) loop.

Sep 26Sat
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
Aug 5Wed
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 17Fri
  1. TrendForce Insights Semiconductor Industry Insights55

    Humanoid Robots Part 1: The US-China Divide and Who Controls the Supply Chain

    TrendForce released the first installment of its humanoid robot industry analysis series, noting that the US is betting on AI agent ecosystems while China is leveraging its complete supply chain to accelerate scaled deployment, such as AgiBot growing output from 1,000 units to 5,000 units in about a year, then reaching 10,000 units in three more months.

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 29Mon
  1. Import AI48

    Import AI 463: Self-improving robots; a 10k Chinese GPU cluster; and an elegiac essay for the human era

    NVIDIA launched ENPIRE, letting frontend coding agents drive real robots to continuously self-improve policies through a closed loop of automatic evaluation and automatic reset, reaching 99% success on dexterous manipulation tasks like PushT and pin tidying, with GPT-5.5 (Codex) and Opus 4.7 (Claude Code) performing best. The issue also covers China's 10,000-GPU cluster and an essay noting humans have historically struggled to predict technology's impact.

Jun 9Tue
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