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Open nowPosted 45 days ago

灵巧手运控智能工程师-临界点子公司

agirobot/campusrecruitment420 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now灵巧手运控智能工程师-临界点子公司agirobot/campusrecruitment · Shanghai, 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. agirobot/campusrecruitment 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. 57.8%60 days
This job: posted 45 days ago

agirobot/campusrecruitment median: 1 days open

The posting

负责灵巧手操作与机器人感知的核心算法研发,覆盖从仿真建模、运动控制、强化学习到视觉感知的完整技术链路,构建“看得懂、抓得住”的具身智能系统,在真实机器人平台上积累可落地的全栈经验。

1. 灵巧手操作算法: - 在MuJoCo或Isaac Gym/Lab环境下搭建灵巧手/机器人模型,完成参数标定与物理特性调优。 - 实现运动学正逆解与动力学分析,负责强化学习/模仿学习策略的训练与测试。 - 负责Sim-to-Real全流程:处理数据、调试控制逻辑、优化迁移效果,缩小仿真与真机差距。 - 开发遥操作系统,优化重定向算法,支持高效数据采集与技能泛化。

2. 机器人感知算法: - 研发与优化目标检测、分割、位姿估计等视觉感知算法。 - 融合RGB-D与触觉等多模态信息,提升物体识别与抓取点预测精度。 - 处理场景点云与物体级点云,支持语义理解与几何分析。 - 部署视觉模型至真机平台,优化推理速度与资源占用。

3. 系统集成与迭代: - 配合团队提供语义地图、物体属性等感知输出,支撑灵巧手决策与操作。 - 跟踪机器人操作与感知领域最新成果,完成关键论文的复现与改进。

1. 教育背景:硕士及以上,控制、机器人、自动化、计算机、AI等相关专业。

2. 技能要求: - 熟悉机器人学基本原理(坐标变换、FK/IK、动力学方程)。 - 具备Python/C++编程能力,熟悉ROS2、基本架构。 - 熟悉至少一种物理仿真器(e.g. MuJoCo、Isaac Gym/Lab、PyBullet)。 - 了解基础的数值优化(如QP求解)及经典控制理论(PID、LQR) 熟悉目标检测(YOLO、DETR)、分割(SAM)或位姿估计(FoundationPose)等感知算法。 - 熟悉点云处理算法与库(如PCL、Open3D),掌握点云滤波、分割、配准、重建等常用方法。

3. 加分项: - 有强化学习/模仿学习项目经验。 - 有灵巧手、多指操作或接触丰富任务经验 - 有Sim-to-Real落地经验。 - 有具身智能、机器人抓取或VLA模型相关经验 - 在机器人或机器学习顶会(RSS、CoRL、ICRA、IROS、CVPR、ICCV、NeurIPS等)发表过论文。

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