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  4. 36Kr · AI

    Robot rental prices plunge over 70% within a year—has robot rental lost its spark?

    The all-inclusive daily rental price for humanoid robots has dropped from 10,000 to 30,000 yuan in early 2025 to the 3,000 yuan range, with some basic models falling below 2,000 yuan—a decline of over 70%; all-inclusive daily rental for quadruped robot dogs has fallen by about two-thirds, with JD.com bare-metal daily rental at about 160 yuan and less than 100 yuan per day for a 30-day rental period. On the supply side, capacity ramp-ups by manufacturers such as Unitree and AgiBot, combined with an influx of rental platforms, have expanded supply; on the demand side, use cases are shifting from commercial-performance traffic props to long-term scenarios such as in-store sales guidance and park patrol inspections, and the industry has entered a conventional competition phase focused on delivery quality.

    The all-inclusive daily rental price for humanoid robots has dropped from 10,000 to 30,000 yuan in early 2025 to the 3,000 yuan range, with some basic models falling below 2,000 yuan—a decline of over 70%; all-inclusive daily rental for quadruped robot dogs has fallen by about two-thirds, with JD.com bare-metal daily rental at about 160 yuan and less than 100 yuan per day for a 30-day rental period. On the supply side, capacity ramp-ups by manufacturers such as Unitree and AgiBot, combined with

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    #hot-signal#English text is being prepared.#Embodied AI
  9. Unite.AI

    NVIDIA Releases Nemotron 3.5 Series of Open Models, Covering Embedding, Reranking, and Document Parsing

    On October 21, 2026, NVIDIA expanded the Nemotron Retriever series, launching Nemotron 3.5 Embed (8B BF16, 1B BF16, 1B NVFP4), Nemotron 3.5 Rerank 8B BF16, and the 631-million-parameter Nemotron 3.5 Parse, aimed at multimodal retrieval and document processing for enterprise agent workflows. NVIDIA says that adding Rerank to the agent retrieval pipeline reduces the token cost per query by about 14% (with the 8B embedding model) and 13% (with the 1B model), respectively, while also improving retrieval accuracy. Parse scores 75.20 on ParseBench and processes 10.5 pages per second on a single H100; the open weights, data, and training recipes have been released on Hugging Face and can be deployed via NVIDIA NIM as well as Baseten, DeepInfra, and FriendliAI.

    On October 21, 2026, NVIDIA expanded the Nemotron Retriever series, launching Nemotron 3.5 Embed (8B BF16, 1B BF16, 1B NVFP4), Nemotron 3.5 Rerank 8B BF16, and the 631-million-parameter Nemotron 3.5 Parse, aimed at multimodal retrieval and document processing for enterprise agent workflows. NVIDIA says that adding Rerank to the agent retrieval pipeline reduces the token cost per query by about 14% (with the 8B embedding model) and 13% (with the 1B model), respectively, while also improving retri

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    #hot-signal#Model releases#RAG#Multimodal
  10. Hugging Face

    NVIDIA Releases SimReady Central, an Open Library of Simulation-Ready 3D Assets, on Hugging Face

    NVIDIA has launched SimReady Central on Hugging Face, an open 3D asset library for robot and AI factory simulation. The assets are in OpenUSD format with simulation attributes such as mass, collision geometry, and friction. OEMs can use the SimReady Central submission skill to validate and submit CAD equipment models according to the SimReady configuration, while developers and AI agents can use NVIDIA USD Search to retrieve assets in natural language and assemble them into Isaac Sim scenes. The article uses a pick-and-place scenario with a FANUC robotic arm equipped with a Robotiq gripper and an AI factory layout comparison as examples to demonstrate the workflow of generating scene assembly and validation code with GPT-6 Astra.

    NVIDIA has launched SimReady Central on Hugging Face, an open 3D asset library for robot and AI factory simulation. The assets are in OpenUSD format with simulation attributes such as mass, collision geometry, and friction. OEMs can use the SimReady Central submission skill to validate and submit CAD equipment models according to the SimReady configuration, while developers and AI agents can use NVIDIA USD Search to retrieve assets in natural language and assemble them into Isaac Sim scenes. The

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    #lab#Product updates#Open-source ecosystem#Embodied AI