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Open nowPosted 64 days ago

校招-真机强化学习算法工程师

zcnma1sv5kma/10121017 open roles

Where
Suzhou, Jiangsu, Chinese Mainland
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Your applicationOpen now校招-真机强化学习算法工程师zcnma1sv5kma/101210 · Suzhou, Jiangsu, 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 64 days ago

The posting

你会收获什么？ 具身集群： 从单机器人走向多机器人协作，探索真正复杂的具身智能场景。 核心算法： 运动规划、轨迹优化、避障、抓取、协同控制等核心问题。 实机闭环： 算法不仅停留在仿真和论文里，而是直接部署到真实机器人。 高挑战问题： 面向真实环境解决机器人“怎么走、怎么抓、怎么协同、怎么完成任务”等问题。 你来做什么？ 1、负责机械臂运动规划、轨迹优化、协同控制等核心算法研发。 2、负责机器人自主避障、抓取操作等算法研发，提升机器人在复杂真实环境中的自主作业能力。 3、参与具身智能集群建设，探索多机器人协作、任务分配与协同规划等算法问题，让多个机器人像一个“整体”一样完成复杂任务。 4、与感知、规划、控制等模块协同，完成算法系统集成、实机部署与测试，推动算法从仿真走向真实机器人。 你将参与的不只是单台机器人的算法优化，而是让多个机器人协同工作、共同完成复杂任务。这里有真实机器人、真实数据和足够有挑战的算法问题。

希望你具备什么？ 1、机器人、计算机、自动化、数学等相关专业，本科及以上学历。 2、具备多自由度机器人轨迹优化、运动规划或控制相关知识，有运动控制、导航等相关研发经历。 3、理解 3D 坐标空间变换原理，掌握机器人运动学基本方法。 4、算法与编程能力强，熟练使用 C++ / Python / Linux / ROS。 5、有机械臂、移动机器人或其他机器人实操及实机开发经验者优先。 6、对机器人、多机器人协作、具身智能等方向有浓厚兴趣，喜欢解决真实世界中的复杂问题。

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