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#Unitree Robotics
  1. 机器人前瞻 · 微信公众号88

    NVIDIA releases GR00T 2 series world-action models, trained on 400,000 hours of human video

    At CoRL 2026, NVIDIA launched the open-source world-action model series GR00T 2, comprising two versions, GR00T 2 and GR00T 2 Turbo. The former focuses on generalization and fine manipulation, while the latter has fewer parameters and can be deployed directly on the Unitree G1, with a single inference taking 124 milliseconds on the onboard Jetson Thor.

    Why it matters: NVIDIA released the GR00T 2 series at CoRL 2026 and disclosed the scale of three types of pre-training data along with success rates for cross-embodiment transfer and few-shot adaptation, which can be used to assess the current capability boundaries of world-action models.

  1. OFweek Robotics77

    Apple unveils HALO humanoid robot control system; Unitree G1 achieves 91% task success rate in unfamiliar environments

    Apple's research team published the paper "Perceptive Humanoid Motion from Simulation" on arXiv, unveiling HALO, an autonomous humanoid robot control system, and validating it on the Unitree G1.

    Why it matters: Apple's HALO splits task orchestration, motion generation, and tracking into three layers, and reports comparative results of 91% in unfamiliar environments and 70% on composite tasks, offering a look at its layered design and data synthesis pipeline.

  1. 机器人前瞻 · 微信公众号83

    Apple releases HALO system, enabling Unitree G1 to perform whole-body skills such as crawling under tables and passing through door gaps zero-shot

    Apple released the HALO humanoid whole-body motion control system, which procedurally generates 1,000 virtual residential scenes and synthesizes nearly 300 hours of paired data, enabling the Unitree G1 to master skills such as sitting on chairs, turning sideways to pass through a half-open door, crouching under a table, and pushing boxes.

    Why it matters: Apple's HALO uses simulation-synthesized data to train humanoid whole-body skills, transfers them zero-shot to real scenes, and ablation experiments show the contribution magnitude of each module.

  1. arXiv cs.RO78

    ∇Mimic: Efficient Whole-Body Control for Humanoid Robots with Differentiable Simulation

    The authors propose ∇Mimic, which uses exact gradients from a differentiable simulator to train whole-body motion-tracking policies for humanoid robots, reaching a score of 0.82 in 20 minutes and 0.874 in 1.8 hours on a single GPU, whereas the world-model method takes 1.2 hours to reach 0.82.

    Why it matters: The paper presents a complete scheme for training humanoid policies with exact gradients under differentiable simulation and open-sources the engine and code, making it easy to compare the efficiency of first-order and zeroth-order methods.

  1. 钛媒体82

    The First Public Ledger for Humanoid Robots: An In-Depth Analysis on the Eve of Agility Robotics' Listing

    Agility Robotics will list on Nasdaq on November 5 via SPAC under the ticker AGLT, with a pre-money valuation of $2.5 billion and confirmed 2025 revenue of only $1.782 million, about 63.5% of which comes from related parties.

    Why it matters: Using Agility's listing filing data as a sample, it breaks down humanoid robot unit economics and RaaS contract structures, and provides transferable metric definitions.

  1. 钛媒体81

    Astra's Shockwave and the Embodied AI Industry's 50 Days

    In the 50 days since GPT-6 Astra was released, the embodied AI industry has conducted intensive evaluations and discussions around it, and general-purpose large models have begun directly taking over robot operation. Tests by SenseTime and several institutions concluded that Astra is basically capable of completing embodied tasks, but still has a clear gap from practical use in real environments, underperforming in millimeter-level contact, dynamic control, and response speed. The article also reviews industry uses such as using Astra directly for policies, reviewing VLA actions, building simulation environments, and data annotation, as well as chain reactions including cooling financing and major companies stepping up data collection.

    Why it matters: It reviews evaluation results, company reactions, and industrial chain changes in the embodied AI industry within 50 days of GPT-6 Astra's release, presenting the differentiated landscape after general-purpose large models entered robot operation.

  1. OFweek Robotics83

    Unitree Robotics launches STAR Market IPO subscription: issue price 150.80 yuan, post-issue market cap about 61 billion yuan

    Unitree Robotics launched its STAR Market IPO subscription on August 10, with subscription code 787836, an issue price of 150.80 yuan per share, a corresponding issue price-to-earnings ratio of 219.23 times, a post-issue total market capitalization of about 60.993 billion yuan, and expected fundraising of about 6.099 billion yuan, an oversubscription of about 45%. Unitree's 2025 revenue was about 1.699 billion yuan, net profit attributable to parent was about 278 million yuan, and actual shipments exceeded 5,500 units; the article, citing precedents such as UBTech, Geek+, and Estun, notes that robot themes and first-day gains show no general pattern.

    Why it matters: The original article uses the listing data of UBTech, Geek+, and Estun as comparisons to help readers understand the logic and risks behind Unitree's high-multiple subscription and high pricing.

  1. OFweek Robotics78

    Unitree market value retraces nearly 70%; Wang Xingxing admits at CIIF he did not believe in AI enough

    Less than two months after its listing, Unitree Technology's share price fell from a high of 1,237 yuan to around 420 yuan, wiping out more than 270 billion yuan in market value, with a maximum drawdown of nearly 70%. Founder Wang Xingxing said on October 12 at the Shanghai International Industry Fair that his biggest mistake over the past decade-plus was not believing in AI enough, and gave a forecast that the robotics era could reach an inflection point in as soon as one to two years. Unitree is building a physical AI self-evolution system. The stock closed up 3.64% the day after his remarks.

    Why it matters: The original article traces the sequence behind Unitree's post-listing share price drawdown and the founder's strategic statement, helping readers understand the AI transformation pressure facing the hardware-first approach.

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