The Zhejiang Humanoid Robot Innovation Center needed more elastic compute, better simulation infrastructure, and higher-quality labeled perception data so it could keep up with rapid embodied-robotics iteration and deploy robots into real scenarios faster.
Reported impact
The center accelerated iteration on humanoid robots, improved embodied perception and control data quality, and pushed robots closer to real deployment across higher-value commercial scenarios.
The Zhejiang Humanoid Robot Innovation Center partnered with Baidu AI Cloud to accelerate development of its 'Navigator' humanoid robots through cloud AI infrastructure, Qianfan tooling, and BaiGe compute services. The center's roadmap depends on Real2Sim2Real training, so Baidu provided a cloud simulation environment that can be deployed quickly, expanded on demand, and used to train across high-fidelity scenes and operating objects. BaiGe adds GPU scheduling and train-infer acceleration, while Baidu's storage and high-performance compute products keep the R&D workflow responsive during rapid model iteration. In parallel, Baidu contributes professional perception and navigation data-labeling support drawn from its autonomous-driving experience, which helps the center build better datasets for robot mobility and decision making.
Scene data and labeled perception or navigation data are fed into the center's Real2Sim2Real training channel on Baidu's cloud simulation and compute environment. Models are trained and accelerated on BaiGe, then the resulting capabilities are deployed back into real robot scenarios to improve motion, perception, and decision making.
Baidu provided cloud high-performance compute, storage, GPU scheduling, and a one-click deployable cloud simulation platform to support the Real2Sim2Real training channel (original: 为企业提供云上高性能稳定可靠的AI算力和系列存储产品…提供云上一键快速部署、算力按需扩展的云上仿真平台，支持…Real2Sim2Real训练通道的建设).
Baidu's data services also support perception and navigation labeling, and the center's flagship robots have already landed in more than ten real scenarios (original: 正全面支持企业开展感知和导航等数据的标注工作…截至目前已落地十余家真实用户场景).
The Zhejiang center used Baidu AI Cloud compute and data services to speed up development of the 'Navigator' robot and achieve high-precision motion plus multi-scenario deployment (original: 浙江人形机器人创新中心借助百度智能云AI算力和数据服务，加速"领航者"机器人研发，实现高精度运动和多场景应用落地).
The center needed cloud AI compute because local resources could no longer respond quickly enough to its R&D iteration pace (original: 通过本地计算资源已无法快速响应和满足研发团队快速迭代的研发节奏要求).
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