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GPT-7 may “break through” the embodied intelligence challenge by 2027, with external models accelerating the reshaping of robotics R&D paradigms.

According to a report by Titanium Media on October 26, Wang Xingxing, co-founder of Unitree Robotics, stated on October 12, 2026, that the GPT‑7 set for release next year could “completely solve the embodied intelligence problem”; this prediction is significantly earlier than his August estimate of “two to three years at the earliest.” Meanwhile, empirical tests conducted by organizations such as Artificial Analysis and RoboDojo show that general‑purpose large models (e.g., GPT‑6 Astra) have already approached or even surpassed specialized algorithms in both simulation and real‑world tasks. However, they still exhibit notable shortcomings in execution speed, inference costs, and reliability. Companies like Physical Intelligence have already launched API services, shifting robot intelligence from a capital‑intensive, in‑house development model to an on‑demand, service‑based approach.

Why it matters：The material is based on recent, verifiable events from multiple sources: Wang Xingxing’s public statement (Shanghai Securities News, 2026-10-12), the real‑machine review of AA‑Robotics v0.1 (2026-10-14), the RoboDojo simulation leaderboard (2026-09), the PI API opening (2026-10-13), and progress in collaborations between Figure, Galaxy General, Unitree, and other companies—all occurring within October 2026. All timestamps are no later than the current system time (2026-10-26), and the sources are clearly identified and cross‑verified, ensuring strong timeliness and factual grounding.

GTC Berlin 2026: Jensen Huang’s keynote comprehensively unveils the AI factory, security agents, and Europe’s AI ecosystem strategy.

At the GTC Berlin 2026 conference held at Berlin’s Tempodrom, NVIDIA CEO Jensen Huang unveiled several key advancements: the DSX POD modular AI factory, the Vera Rubin full-stack AI agent platform, the OpenShell security architecture, the Agent Knowledge Foundation knowledge layer, and the Agile ONE SN humanoid robot reference platform. He also announced a European AI investment commitment exceeding €10 billion, spanning more than 12,000 partners, while emphasizing that Europe is accelerating the development of an independent, controllable AI economic infrastructure.

NVIDIA launches SimReady Central: an open-source, simulation-ready 3D asset library for robotics and AI factories.

NVIDIA, in collaboration with Hugging Face, has launched SimReady Central, a free and open-source simulation-ready (SimReady) 3D asset library built on OpenUSD. The initial release includes over 2,000 validated industrial-grade assets, covering robot bodies, end-effectors, AI factory infrastructure, and more, enabling developers to rapidly build physics-based AI training environments and digital twin scenarios.

Microduck open-source bipedal robot supports both simulation training and real-world deployment: NVIDIA Isaac Lab 3.0 enables a Sim-to-Real closed loop.

Pollen Robotics and Hugging Face have jointly unveiled Microduck, a low-cost, open-source bipedal robot, integrating NVIDIA Isaac Lab 3.0 and the Newton physics engine. It supports training walking policies in GPU-accelerated parallel simulations, with domain randomization and high-fidelity actuator modeling—including backlash, latency, and friction—enhancing robustness during simulation-to-real transfer. The resulting ONNX model can be directly deployed on the physical robot.