2026 机器人基础设施技术栈全景：从仿真到云端数据管线
阅读原文： https://t.co/9bh38Z4FDt
做机器人的朋友看过来，这篇把仿真、ROS 2、LeRobot 到 Alloy 的整套工具链全列出来了，选型直接抄作业。
Joe Harris 梳理了 2026 年机器人开发的 16 层基础设施技术栈。仿真测试层有 NVIDIA Isaac Sim、Gazebo、MuJoCo；中间件层依赖 ROS 2、DDS、Zenoh；策略训练层出现 Hugging Face LeRobot 和 NVIDIA Isaac Lab。数据上传与日志管理方面，AWS IoT Greengrass、S3 加 Alloy 承担机器人到云端的数据链路。 agent 层则由 Codex 和 Claude Code 处理机器人数据。
阅读原文： https://t.co/9bh38Z4FDt
阅读原文： x.com/_joe_harris_/s… Joe Harris @_joe_harris_ the 2026 robotics infrastructure stack: - simulation and testing (NVIDIA Isaac Sim, Gazebo, MuJoCo, Antioch) - connectivity and comms (Wi-Fi / 5G / LTE / Starlink, VPN backhaul) - fleet management, monitoring and teleoperation (Formant, InOrbit, Open-RMF) - robot middleware and messaging (ROS 2, DDS, Zenoh) - navigation, planning and control (Nav2, MoveIt 2) - project collaboration and sharing (GitHub, Tnkr) - edge compute and onboard AI (NVIDIA Jetson, Qualcomm RB series) - deployment and OTA updates (Ubuntu Core, balena, Mender) - visualisation and replay (Foxglove, Rerun, RViz) - CV/ML model training and labelling (Roboflow, Scale AI) - robot learning and policy training (Hugging Face LeRobot, NVIDIA Isaac Lab) - data upload from robot to cloud (AWS IoT Greengrass, Alloy) - data logging, storage and management (mostly S3, Alloy) - data pipelines and model delivery (custom ETL, CI/CD, registries) - observability and root cause analysis (metrics, traces, Alloy) - agent harness for robotics data (Codex, Claude Code, Alloy) 🔗 View Quoted Tweet 💬 0 🔄 0 ❤️ 0 👀 115 ⚡
