[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"public-people-navigation":3,"public-infra-v1":13},{"data":4,"meta":8},{"visible":5,"photos":6,"people":7},false,[],[],{"source":9,"releaseId":10,"releaseVersion":10,"contentRevision":11,"checksum":12},"static",null,0,"838a5b62d9a4bad8485720b81d5524140cb1e1b230aa9b32177c8299aef29090",{"data":14,"meta":183},{"blocks":15,"items":24},[16],{"key":17,"group":18,"titleZh":19,"titleEn":20,"subtitleZh":21,"subtitleEn":21,"bodyZh":10,"bodyEn":10,"imageUrl":10,"linkUrl":10,"sortOrder":22,"isPublished":23},"infra-meta","infra","基础设施","Infra","Infra of Party OS",10,true,[25,68,107,143],{"slug":26,"navTitle":27,"titleZh":28,"titleEn":28,"date":29,"statusZh":30,"statusEn":31,"typeZh":32,"typeEn":33,"media":34,"mediaAltZh":35,"mediaAltEn":36,"features":37,"projectUrl":65,"codebaseUrl":66,"reportUrl":67},"hhtools","HHTools","Human-Humanoid Tools","2026-06-11","预览","Preview","数据","Data","\u002Fimages\u002Fprojects\u002Fhhtools\u002Fhhtools-demo-mosaic-poster.jpg","Human-Humanoid Tools 动作重定向演示","Human-Humanoid Tools motion retargeting demos",[38,47,56],{"titleZh":39,"titleEn":40,"pointsZh":41,"pointsEn":44},"快速重定向","Fast Retarget",[42,43],"约 30 秒完成全身复杂动作重定向","支持批量并行处理与快速研发迭代",[45,46],"Retarget complex full-body motion in about 30 seconds","Support batch parallel processing for fast R&D iteration",{"titleZh":48,"titleEn":49,"pointsZh":50,"pointsEn":53},"任意动作与任意 URDF","Any Motion & Any URDF",[51,52],"统一处理多来源人体与机器人动作","适配不同拓扑结构与自由度的人形机器人",[54,55],"Unify motion from multiple human and robot sources","Adapt to humanoids with different topologies and degrees of freedom",{"titleZh":57,"titleEn":58,"pointsZh":59,"pointsEn":62},"动作分析与互转","Motion Analysis & Transfer",[60,61],"提供关节轨迹、重心与接触点分析","支持机器人到机器人的动作迁移",[63,64],"Inspect joint trajectories, center of mass, and contacts","Transfer motion from one robot platform to another","\u002Fprojects\u002Fhhtools","https:\u002F\u002Fgithub.com\u002FJaggerShen\u002Fhuman-humanoid-tools","",{"slug":69,"navTitle":70,"titleZh":70,"titleEn":70,"date":71,"statusZh":30,"statusEn":31,"typeZh":72,"typeEn":73,"media":74,"mediaAltZh":75,"mediaAltEn":76,"features":77,"projectUrl":105,"codebaseUrl":106,"reportUrl":67},"mimiclite","MimicLite","2026-07-12","训练","Training","\u002Fimages\u002Fprojects\u002Fmimiclite\u002Froadmap-poster.jpg","MimicLite 人形机器人运动跟踪演示","MimicLite humanoid motion tracking demo",[78,87,96],{"titleZh":79,"titleEn":80,"pointsZh":81,"pointsEn":84},"快速且可扩展的训练","Fast & Scalable Training",[82,83],"8 张 H200 约 2 小时完成训练","以约 1\u002F500 SONIC 算力达到 SONIC 级跟踪表现",[85,86],"Train with 8 H200 GPUs in about two hours","Reach SONIC-level tracking with roughly 1\u002F500 of SONIC compute",{"titleZh":88,"titleEn":89,"pointsZh":90,"pointsEn":93},"运动跟踪基础设施","Motion Tracking Infrastructure",[91,92],"支持 mjlab、IsaacLab、PPO 与 SAC","统一机器人资产、动作格式与策略产物",[94,95],"Support mjlab, IsaacLab, PPO, and SAC","Unify robot assets, motion formats, and policy artifacts",{"titleZh":97,"titleEn":98,"pointsZh":99,"pointsEn":102},"遥操作与 Sim2Real","Teleoperation & Sim2Real",[100,101],"约 0.1 秒 Pico 端到端遥操作延迟","将外部 Codebase 策略快速接入真机部署链路",[103,104],"Deliver roughly 0.1-second end-to-end Pico teleoperation","Adapt policies from external codebases to real-robot deployment","\u002Fprojects\u002Fmimiclite","https:\u002F\u002Fgithub.com\u002FRoboparty\u002FMimicLite",{"slug":108,"navTitle":109,"titleZh":109,"titleEn":109,"date":71,"statusZh":30,"statusEn":31,"typeZh":72,"typeEn":73,"media":110,"mediaAltZh":111,"mediaAltEn":112,"features":113,"projectUrl":141,"codebaseUrl":142,"reportUrl":67},"ufo","UFO","\u002Fimages\u002Fprojects\u002Fufo\u002Froadmap-poster.jpg","UFO 无监督强化学习控制演示","UFO unsupervised reinforcement learning control demo",[114,123,132],{"titleZh":115,"titleEn":116,"pointsZh":117,"pointsEn":120},"快速训练基础设施","Fast Training Infrastructure",[118,119],"支持 Isaac Lab 与 MJLab","兼容单卡、多卡并行训练和不同机器人形态",[121,122],"Support Isaac Lab and MJLab","Scale from single-GPU to multi-GPU training across robot morphologies",{"titleZh":124,"titleEn":125,"pointsZh":126,"pointsEn":129},"超越 FB 表征","Beyond FB Representation",[127,128],"集成经典 BFM-Zero 行为表征","支持 TLDR 等新型无监督行为表征研究",[130,131],"Integrate classic BFM-Zero behavior representations","Explore unsupervised representations such as TLDR",{"titleZh":133,"titleEn":134,"pointsZh":135,"pointsEn":138},"灵活数据与真机部署","Flexible Data & Deployment",[136,137],"支持多来源数据混合与分布调度","提供遥操作代码和真实机器人验证方案",[139,140],"Support mixed-source data and flexible distribution scheduling","Provide teleoperation code and real-robot validation workflows","\u002Fprojects\u002Fufo","https:\u002F\u002Fgithub.com\u002FRoboparty\u002FUFO",{"slug":144,"navTitle":145,"titleZh":145,"titleEn":145,"date":71,"statusZh":30,"statusEn":31,"typeZh":146,"typeEn":147,"media":148,"mediaAltZh":149,"mediaAltEn":150,"features":151,"projectLabelZh":179,"projectLabelEn":180,"projectUrl":181,"codebaseUrl":182,"reportUrl":67},"sim2real","Sim2Real","部署","Deployment","\u002Fimages\u002Finfra\u002Froboto-origin-github.png","RoboParty ROBOTO_ORIGIN GitHub 开源仓库预览","RoboParty ROBOTO_ORIGIN open-source GitHub repository preview",[152,161,170],{"titleZh":153,"titleEn":154,"pointsZh":155,"pointsEn":158},"从仿真训练到真机部署","From Simulation Training to Real Deployment",[156,157],"以强化学习训练环境、仿真配置与 Sim2Sim 迁移为策略开发起点","通过开源训练与部署代码，将运动控制策略接入 ROBOTO_ORIGIN 真机",[159,160],"Start policy development with RL environments, simulation configs, and Sim2Sim transfer","Use the open-source training and deployment code to run motion-control policies on ROBOTO_ORIGIN",{"titleZh":162,"titleEn":163,"pointsZh":164,"pointsEn":167},"ROS 2 真机部署栈","ROS 2 Deployment Stack",[165,166],"提供 ROS 2 部署框架、中间件模块与部署配置","覆盖 IMU、电机集成以及控制链路所需的软硬件接口",[168,169],"Provide a ROS 2 deployment framework, middleware modules, and deployment configs","Cover IMU and motor integration together with the interfaces needed by the control stack",{"titleZh":171,"titleEn":172,"pointsZh":173,"pointsEn":176},"全链路开源与可复现","Open and Reproducible End to End",[174,175],"聚合机械结构、电子系统、机器人描述、固件、训练与部署子仓库","面向可独立组装的开源人形机器人，支持行走与跑步能力复现",[177,178],"Aggregate hardware, electronics, robot descriptions, firmware, training, and deployment repositories","Target an independently buildable open-source humanoid with reproducible walking and running","查看文档","View 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