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Open nowPosted 271 days ago

具身智能机器人定位算法(具身)

yesv-desaysv/index444 open roles

Where
Huizhou, Guangdong, Chinese Mainland
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Your applicationOpen now具身智能机器人定位算法(具身)yesv-desaysv/index · Huizhou, Guangdong, 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. yesv-desaysv/index postings stay open a median of 1 days.

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. 58.1%60 days
This job: posted 271 days ago

yesv-desaysv/index median: 1 days open

The posting

研发与优化基于多传感器(如激光雷达、视觉、IMU、轮速计等)的定位与建图算法,提升机器人在动态、大尺度环境中的鲁棒性与精度。 设计并实现高效的SLAM(即时定位与地图构建)系统,支持机器人长期运行与场景自适应。 探索前沿定位技术,如语义SLAM、多机器人协同定位、动态物体过滤等,提升机器人在真实场景中的实用性;参与世界模型生成与重建方向的研究与系统开发,涵盖数据准备、模型训练、系统集成等 与感知、规划与控制团队紧密合作,将定位算法嵌入机器人系统,并进行系统集成与性能调优。 撰写技术文档,输出专利与论文,推动团队技术积累与行业影响力。

硕士及以上学历,计算机、机器人、自动化、数学等相关专业,3年以上机器人定位算法研发经验。 精通至少一种主流SLAM框架(如LOAM、Cartographer、ORB-SLAM系列、VINS、Fast-Lio等),并有实际项目部署经验。 扎实的数学基础,熟悉非线性优化(如g2o、Ceres)、概率估计(卡尔曼滤波、粒子滤波)与多视图几何。 了解视频生成或3DGS或4DGS或VGGT等前馈重建、生成网络。 熟练掌握C++/Python,熟悉Linux/ROS开发环境,具备良好的代码工程化能力。 具备多传感器标定、时序同步与数据融合的实际经验。 优先条件 有在动态环境、大尺度场景(如仓储、商场、室外) 中部署定位算法的经验。 熟悉深度学习在定位中的应用(如端到端VO、语义辅助定位等)。 具备嵌入式平台(如Jetson、ARM架构)算法优化经验。 在顶级机器人/计算机视觉会议(如ICRA、IROS、CVPR)发表过相关论文。

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