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Open nowPosted 609 days ago

实习生(操作规划与控制算法方向)

agirobot/internrecruitment367 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now实习生(操作规划与控制算法方向)agirobot/internrecruitment · 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/internrecruitment postings stay open a median of 2 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 609 days ago

agirobot/internrecruitment median: 2 days open

The posting

移动机械臂机器人协作运动规划算法开发:结合移动机械臂机器人多自由度特性与协作任务的特点,探索运动规划与控制算法,结合视觉语言大模型相关技术,进行不同种类的移动操作任务。

系统仿真验证:通过仿真验证算法的鲁棒性与有效性,并进行持续改进; 系统集成与调试:与硬件工程团队、传感器团队协作,集成和优化算法的实时性、准确性和鲁棒性,提升系统整体性能。

职位要求 学历要求:计算机科学、机器人、自动化、控制工程、机械工程等相关专业本科/硕士/博士在校生; 理论基础:熟悉机器人学、刚体运动学,掌握常用的运动学与动力学方法;了解常用的路径规划与轨迹优化等基础理论,熟悉优化问题的构建与求解流程;熟悉机械臂系统的控制流程;

掌握 Python、C++等编程语言,有机器人操作系统ROS2的开发经验;搭建或者使用过移动机器人与机械臂的运动规划与控制框架;了解使用过路径规划与轨迹优化开源框架;使用过常用的开源数值优化框架求解优化问题;熟悉常用机器人仿真软件的使用如MuJoCo、Isaac Lab等。 较强的分析和解决问题的能力,具备良好的团队合作精神与沟通能力,能够将前沿算法应用于产品中,并具备解决实际工程问题的能力;

加分项: 有参与过RoboCon或RoboMaster机器人比赛的经验; 有在国际机器人会议(ICRA、RSS、IROS等)或期刊(T-RO、IJRR、T-FR、T-MECH等)上发表过相关论文; 在移动机械臂协作领域有路径规划、轨迹优化和实时控制系统的项目经验者优先; 有参与VLM/VLA等深度学习相关的机械臂控制项目经验;

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