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Open nowPosted 28 days ago

运动控制算法工程师（量产）

zitd5je6f7j/referral41 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now运动控制算法工程师（量产）zitd5je6f7j/referral · Beijing, Chinese Mainland

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 28 days ago

The posting

1. 负责人形机器人运动控制推理系统架构设计，开发运动学动力学串并联解算、全身控制、状态估计模块、高可扩展状态机开发等。 2. 负责机器人站立、行走、跑步、上下楼梯、复杂地形通过、全身动作等运动能力的部署、参数调试与效果优化。强化学习运动控制等算法的实机部署、版本集成、回归测试和性能验证。 3. 完成仿真‑真机迁移，负责不同机器人个体的运控适配，包括关节参数、动力学参数、传感器、执行器及控制参数标定与调试。 负责整机运动问题定位与闭环，能够结合日志、传感器数据和机器人实际表现，分析并定位控制、硬件、通信、系统等相关问题。 4. 建立运动控制能力的测试与交付标准，沉淀标准化调试流程、参数配置、测试用例及问题排查方法，提高多台机器人批量交付效率

1. 硕士及以上学历，自动化、机器人、控制科学与工程、机电等相关专业；扎实掌握机器人运动学、刚体动力学、坐标变换、四元数 / 欧拉角、FK/IK，理解串并联机构解算原理。 2. 熟练 Python 开发，具备 C++ 开发能力；熟悉 Linux 开发调试环境；具备 ROS2、DDS 消息中间件实际项目开发经验，了解实时性、消息时序、数据流设计。 3. 了解强化学习运动控制（PPO 等），有足式 / 人形机器人仿真或真机项目落地经验优先。掌握 MPC、LQR、阻抗 / 导纳控制、全身控制 (WBC)、状态估计其中至少一类算法； 4. 具备较强的工程问题定位能力，能够区分模型误差、观测噪声、传感器、驱动、控制参数带来的故障现象；愿意深度参与仿真‑真机联调，独立排查抖动、姿态漂移、平衡失稳、力交互异常等现场问题。 5. 具备状态机、控制系统模块架构设计经验，能够设计高可扩展、低耦合的运控软件模块，具备接口定义、模块拆分、数据流梳理能力。 6. 良好的跨团队协作能力，可对接 IMU、关节编码器、力矩传感器、六维力传感器、伺服驱动；能够和硬件、机械团队对齐需求，输出问题反馈与优化建议。 7. 具备技术沉淀意识，能够输出设计文档、调试手册、测试用例，参与搭建运控系统性能评测指标与测试体系。

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