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Open nowPosted 108 days ago

状态估计/传感器融合工程师

x2-robot/index203 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen now状态估计/传感器融合工程师x2-robot/index · Shenzhen, Guangdong, Chinese Mainland
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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. x2-robot/index postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 108 days ago

x2-robot/index median: 1 days open

The posting

岗位定位 负责机器人IMU、编码器、足端力、视觉/深度等多源传感器方案选型、标定和融合,为运动控制和家庭场景感知提供稳定可靠的状态输入。 核心职责 - 负责IMU、编码器、足端力/触觉、视觉/深度等传感器选型、接口定义和标定流程。 - 建立机器人姿态、速度、接触状态、足底受力等状态估计算法。 - 开发传感器数据同步、滤波、异常检测、标定补偿和融合模块。 - 与运动控制、触觉/力觉、嵌入式和测试团队协作,提供可用于控制闭环的稳定状态信号。 - 输出标定文档、数据质量评估、传感器误差模型和融合效果报告。

任职要求 - 熟悉EKF/UKF、惯性导航、SLAM或机器人状态估计。 - 熟悉IMU、编码器、深度相机、力传感器、足端接触传感器等至少两类传感器。 - 具备C++/Python开发能力,能够完成算法验证、数据分析和工程部署。 - 理解状态估计服务于运动控制闭环,而不仅是单纯感知。 加分项 - 做过四足机器人、双足机器人、无人机、自动驾驶、惯导、机器人SLAM或多传感器融合。 - 熟悉ROS/ROS2、Pinocchio、MuJoCo、Isaac Sim、机器人日志系统或数据回放工具。 - 有真机调试经验,能处理传感器噪声、漂移、延迟和异常数据。

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