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Open nowPosted 124 days ago

机器人操作算法工程师

zitd5je6f7j/referral41 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now机器人操作算法工程师zitd5je6f7j/referral · Beijing, 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.

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 124 days ago

The posting

岗位描述： 负责机器人在真实场景中的感知、抓取、操作与具身智能算法研发，面向家庭场景，构建从数据采集、模型训练、策略部署到现场调优的完整算法闭环。 岗位职责 负责机器人视觉感知模块开发与集成，利用现有视觉模型完成机器人操作任务所需的目标识别、状态感知与环境理解。 负责机械臂抓取与操作策略算法开发，面向夹爪、吸盘、灵巧手等末端执行器，实现稳定抓取、放置、叠衣服等任务。 参与具身智能相关算法研发落地，可基于现有成熟抓取、视觉操作算法方案迭代优化；同时跟进模仿学习、行为克隆、Diffusion Policy、Flow matching、ACT、PI等前沿方案，探索在真实机器人任务中的应用。 负责机器人操作数据采集、清洗、标注、训练与评估流程建设，提升模型在真实场景中的成功率、鲁棒性和泛化能力。 负责机器人算法模型的部署与性能优化，包括推理加速、资源优化及机器人端稳定运行保障。 与硬件、软件、控制、系统工程等团队协作，完成机器人感知、规划、控制、执行链路的系统集成与调试，保障机器人任务稳定运行。 对线上或现场问题进行分析、复现和优化，持续提升算法在复杂真实场景中的可靠性。 编写清晰、规范的技术文档、实验报告和部署说明，为团队成员、测试人员和客户提供技术支持。

本科及以上学历，计算机、自动化、机器人、电子工程、人工智能、机械电子等相关专业。 具备扎实的编程基础，熟悉Python。 熟悉深度学习框架，如PyTorch、TensorFlow等，具备视觉模型训练、调参、部署和问题排查经验。 熟悉计算机视觉相关算法，包括目标检测、图像分割、深度估计、点云处理、位姿估计等机器人视觉相关技术中的一个或多个方向。 了解机器人系统基本原理，熟悉机械臂、末端执行器、相机、标定、坐标变换、运动控制等基础知识。 有机器人抓取、机械臂操作、移动操作、柔性物体抓取等项目经验者优先。 具备较强的问题分析能力、工程落地能力和团队协作能力，能够接受真实机器人场景中的复杂调试工作。 具备良好的英文阅读能力，能够阅读和复现英文论文、开源项目和技术文档。

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