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Open nowPosted 112 days ago

机器人运动规划与控制工程师

sii-czxy/index44 open roles

Where
Shanghai, Chinese Mainland
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  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 112 days ago

The posting

1. 构建并维护真实机器人系统中的运动规划与控制模块,支持从仿真到实机的部署、调试和性能优化。包括机械臂规划、移动底盘规划、全身运动规划、轨迹优化、碰撞检测、避障和控制执行。 2. 参与移动操作、腿足操作、双臂操作或全身协同操作系统开发,实现底盘、机械臂、末端执行器、传感器和高层任务模块之间的稳定协同。 3. 结合感知结果、环境模型和任务目标,设计面向真实场景的闭环规划与控制策略,提高机器人在遮挡、动态障碍、定位误差和执行误差下的鲁棒性。 4. 参与机器人系统工程建设,包括 ROS/ROS2 软件架构、仿真环境、数据记录、调试工具、自动化测试和实验评估。 5. 跟踪并复现运动规划、控制、移动操作和全身机器人相关的前沿方法,并推动其在真实机器人系统中的落地。

1. 具备机器人学、自动化、机械工程、控制工程或相关专业背景,熟悉机器人运动学、动力学、坐标变换、雅可比矩阵、轨迹生成和反馈控制等基础知识。 2. 熟悉至少一类运动规划方法,例如采样规划、搜索规划、轨迹优化。例如(包括但不限于,不要求全部了解或熟悉)CHOMP/STOMP/TrajOpt、MPC、RRT/PRM、A、Hybrid A、OMPL、MoveIt 或类似框架。 3. 熟悉机器人控制方法,例如 PID、阻抗/导纳控制、全身控制、MPC、LQR、QP 控制或模型预测控制中的至少一种。 4. 具备真实机器人调试经验,理解仿真和实机之间的差异,能够处理延迟、噪声、标定误差、碰撞风险、控制不稳定和硬件安全等实际问题。 5. 熟练掌握 C++ 和 Python,具备良好的工程代码能力,能够编写可维护、可调试、可复用的机器人系统代码。 6. 具备良好的英文文献阅读能力,能够阅读并复现机器人运动规划、控制和移动操作相关论文。

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