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Open nowPosted 100 days ago

机械臂算法实习生

seer-group/index52 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now机械臂算法实习生seer-group/index · Shanghai, Chinese Mainland
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  6. 44.6%60 days
This job: posted 100 days ago

The posting

一、岗位职责​ -协助工程师开展机器人上肢协作运动规划相关算法的辅助开发工作,包括路径规划、轨迹优化等模块的基础代码编写与测试;​ -参与系统仿真验证任务,协助搭建仿真环境,收集并分析仿真数据,辅助优化算法的基础性能;​ -配合硬件工程团队、传感器团队完成系统集成与调试的辅助工作,记录调试过程中的问题与数据,提供技术支持;​ -协助整理技术文档、实验报告,参与团队技术讨论,学习前沿算法在机械臂领域的应用。​

二、任职要求​ (一)基础条件​ 学历背景:计算机科学、机器人、自动化、控制工程、机械工程或相关领域在读硕士或博士生,对机器人领域有浓厚兴趣;​ 学习能力:具备较强的自主学习能力和钻研精神,能够快速理解基础算法原理,愿意主动探索技术难点。​ (二)理论基础​ -了解机器人学、刚体运动学基础理论,对运动学与逆运动学有初步认知;​ -初步掌握运动规划基本概念,了解 RRT、A * 等经典路径规划算法的核心思想;​ -对凸优化、非线性优化或机械臂控制策略有基础了解者优先。​ (三)专业技能​ 掌握 Python 或 C++ 编程语言,具备基础的代码编写与调试能力;​ 了解机器人操作系统 ROS(ROS2 优先)基本使用方法,对路径规划开源框架(如 OMPL)或仿真软件(如 MuJoCo)有初步接触者优先;​ 会使用常用办公软件及数据整理工具,具备基础的数据分析能力。​ (四)综合素质​ -具备良好的团队协作意识,能够积极配合团队完成分配任务;​ -具备清晰的逻辑思维和沟通能力,工作认真负责,有较强的执行力;​ -每周可保证至少 4 天实习时间,实习周期不少于 3 个月。​

三、加分项​ 有 RoboCon、RoboMaster 等机器人赛事参与或相关项目经验;​

发表过机器人领域相关学术论文或申请过相关专利;​

具备深度学习与机械臂结合的基础认知或实践经验。

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