岗位职责：
1 机器人运动学动力学参数辨识（DH，TCP，转动惯量，摩擦系数等）；2 多关节机械臂的运
动动力学建模及算法开发，包括机器人正解逆解，路径规划，轨迹规划，
力控算法，视觉伺服控制等，至少精通其中的一种；
3. 机器人与力传感或视觉伺服控制算法的软件实现(C/C++)、配合整机联合调试；
4. 开发、测试、专利等文档的编写。
任职要求：
1.本科及以上学历，自动化、机械、机械电子、航空航天、数学、物理、计算机
等相关专业毕业；
2.具有扎实的数学基础，具有机器人学、运动学和动力学基础知识，了解空间坐标变换原理；
3.精通 C/C++，熟悉 python，熟悉常见数据结构和算法；
4.具有机器人的运动学和动力学、轨迹规划、视觉伺服或力控等项目经验优先；
5.熟悉机器人常用仿真环境（matlab， python， ROS 等）优先；
6.熟练阅读英文文献，可快速实现算法原型；
7.有良好的沟通能力及团队协作精神；
8.有视觉 SLAM 开发经验者优先；
9.使用过 UR，KUKA 越疆 Dobot 等机械臂及 NDI 红外相机，3D 相机者优先。
Identification of kinematic and dynamic parameters of robots (DH, TCP, moment of inertia,
friction coefficient, etc.); Dynamic modeling and algorithm development of multi joint robotic
arms, including robot forward and inverse solutions, path planning, trajectory planning, etc,
Proficient in at least one of force control algorithms, visual servo control, etc;
3. Software implementation of robot and force sensing or visual servo control algorithms (C/C++),
and joint debugging with the whole machine;
4. Writing documents for development, testing, patents, etc.
Job requirements:
1. Full time undergraduate master's degree or above in automation, machinery, mechatronics,
aerospace, mathematics, physics, computer science
Graduation from relevant majors;
2. Have a solid foundation in mathematics, possess basic knowledge in robotics, kinematics, and
dynamics, and understand the principles of spatial coordinate transformation;
3. Proficient in C/C++, familiar with Python, familiar with common data structures and
algorithms;
4. Experience in robot kinematics and dynamics, trajectory planning, visual servoing, or force
control projects is preferred;
5. Familiarity with commonly used simulation environments for robots (such as Matlab, Python,
ROS, etc.) is preferred;
6. Proficient in reading English literature and able to quickly implement algorithm prototypes;
7. Have good communication skills and teamwork spirit;
8. Experience in visual SLAM development is preferred;
9. Those who have used UR, KUKA Yuejiang Dobot and other robotic arms, as well as NDI infrared
cameras and 3D cameras are preferred.