安克创新机器人运动控制算法工程师(上海)
校招全职地点:上海状态:招聘
任职要求
1. 硕士及以上学历,控制、机械电子、计算机等相关专业; 2. 掌握机器人运动学/动力学、主流机器人控制算法; 3. 熟练使用 C++/Python,熟悉 Linux/Git 及 ROS 开发框架; 4. 具备 MuJoCo/PyBullet/Isaac Gym 等仿真工具实战经验; 加分项: 在 ICRA/IROS/RSS 等会议或机器人相关期刊发表论文; 拥有足式/轮式/机械臂等多类型的机器人调试经验; 了解计算机视觉、传感器(IMU/电机)或灵巧手操作; 利用强化学习提升运控性能经验。
工作职责
1. 研发四足、人形、类人形机器人(腿足/机械臂)运动控制算法,解码大模型输出的动作意图,实现轨迹规划、运动控制及力控策略; 2. 通过仿真(MuJoCo/Isaac Gym等)和实物测试解决算法性能问题; 3. 实现高可靠鲁棒的运控系统端侧部署开发,支持跨团队集成需求; 4. 跟踪应用强化学习、系统辨识等前沿技术,持续提升运控系统能力上限。
包括英文材料
学历+
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
Linux+
https://ryanstutorials.net/linuxtutorial/
Ok, so you want to learn how to use the Bash command line interface (terminal) on Unix/Linux.
https://ubuntu.com/tutorials/command-line-for-beginners
The Linux command line is a text interface to your computer.
https://www.youtube.com/watch?v=6WatcfENsOU
In this Linux crash course, you will learn the fundamental skills and tools you need to become a proficient Linux system administrator.
https://www.youtube.com/watch?v=v392lEyM29A
Never fear the command line again, make it fear you.
https://www.youtube.com/watch?v=ZtqBQ68cfJc
Git+
https://www.youtube.com/watch?v=rH3zE7VlIMs
Learn Git from start to finished in this full course written by ThePrimeagen.
ROS+
https://www.youtube.com/watch?v=92Zz5nnd41c&list=PLk51HrKSBQ8-jTgD0qgRp1vmQeVSJ5SQC
https://www.youtube.com/watch?v=HJAE5Pk8Nyw
Ready to learn ROS2 and take your robotics skills to the next level?
https://www.youtube.com/watch?v=MWKnMPX0Yjg&list=PLU9tksFlQRircAdEplrH9NMm4WtSA8yzi
Do you want to know more about ROS the Robot Operating System?
开发框架+
[英文] Understanding Modern Development Frameworks: A Guide for Developers and Technical Decision-makers
https://www.freecodecamp.org/news/understanding-modern-development-frameworks-guide-for-devs/
Gymnasium+
https://gymnasium.farama.org/index.html
An API standard for reinforcement learning with a diverse collection of reference environments
https://www.youtube.com/watch?v=FvuyrpzvwdI
Learn to use Gymnasium for Python, which allows you to create environments to run reinforcement learning programs against in Python.
OpenCV+
https://learnopencv.com/getting-started-with-opencv/
At LearnOpenCV we are on a mission to educate the global workforce in computer vision and AI.
https://opencv.org/university/free-opencv-course/
This free OpenCV course will teach you how to manipulate images and videos, and detect objects and faces, among other exciting topics in just about 3 hours.
强化学习+
https://cloud.google.com/discover/what-is-reinforcement-learning?hl=en
Reinforcement learning (RL) is a type of machine learning where an "agent" learns optimal behavior through interaction with its environment.
https://huggingface.co/learn/deep-rl-course/unit0/introduction
This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!
https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
Build your own video game bots, using classic and cutting-edge algorithms.
相关职位
校招
1. 研发适用于足式机器人决策规划的深度强化学习算法; 2. 负责强化学习规划控制算法的sim2real开发; 3. 负责深度强化学习算法的模型开发、调试与实际机器人验证。
更新于 2025-08-14
社招
【关于我们】 小鹏机器人中心致力于研发先进的人形机器人技术,包括机器人的行走、操作、智能导航,以及在大语言模型支持下的人机交互等。我们的软硬件团队覆盖深圳、上海、广州、北京和北美,组成了一支世界一流的跨领域团队。作为本团队的一员,你将成为连接人工智能与物理世界的桥梁,与其他领域的工程师共同解决前沿的科研和工程难题,并在机器人技术的发展中留下自己的印记。 负责人形机器人运动控制算法的研究与开发,包括人形机器人建模、协同规划/控制等; 应用先进的运动控制算法,机器学习算法对机器人进行全身控制; 和上下游团队进行深入合作和共同探,深⼊探索未知⼯程和技术领域,影响并参与决策;
更新于 2025-03-26
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1、负责机器臂/人运动控制系统的设计和架构讨论; 2、研发优化运动控制算法,实现算法模型、软件和硬件集成; 3、分析处理机器人运动控制系统中的技术问题。
更新于 2025-04-17