Robotics Motion Control Engineer (Embodied Intelligence Focus)

Responsibilities:

1. Responsible for the development of core robot modules, including motion control, sensor drivers (IMU, vision, force sensing, etc.), communication systems, and the integration of hardware (motors, sensors) with software systems to optimize real-time control performance.

2. Develop robot control software based on ROS/ROS2, design modular functional nodes, and verify algorithm feasibility using simulation tools (e.g., Gazebo, MuJoCo). Optimize algorithm efficiency to improve robot motion smoothness and adaptability to environments.

3. Build data collection and evaluation environments for application scenarios and establish multidimensional, quantifiable scientific evaluation benchmarks for embodied capabilities.

4. Work closely with the algorithm research and development team (and third parties) to promote iterative development of embodied models and application deployment, solving challenges encountered during implementation.

5. Keep track of and explore the integration and application of cutting-edge technologies in the field of teleoperation. Write technical documents and reports to contribute to the team's technical knowledge base and facilitate technology transfer.

Requirements:

1. Master's degree or above in Automation, Robotics, Mechatronics, Artificial Intelligence, or related fields. Candidates with a bachelor's degree and over 2 years of algorithm development experience are also preferred.

2. Proficient in C++/Python, with experience in robotics simulation and experiments using ROS/ROS2, Gazebo, Isaac Sim, etc.

3. Solid foundation in robotics kinematics and dynamics, familiar with control strategies such as PID and MPC, with strong mathematical and system modeling skills.

4. Expertise in robotic kinematics, dynamics modeling, and force control algorithms, with a solid understanding of control theory.

5. Prior experience in collaborative/force-controlled robotic arm projects is preferred.

6. Familiarity with robotic mechanical configuration design or dynamic simulation is a plus.

Responsibilities:

1. Responsible for developing the robot's core modules, including motion control, sensor driving (IMU, vision, force sensing, etc.), communication system, etc., realizing the integration of hardware (motors, sensors) and software systems, and optimizing real-time control performance

2. Based on ROS/ROS2, develop robot control software, design modular functional nodes, and combine simulation tools (Gazebo, MuJoCo) to verify algorithm feasibility; optimize algorithm efficiency, improve robot motion smoothness and environmental adaptability;

3. Build a data collection and evaluation environment for application scenarios, and construct a multidimensional and quantifiable scientific evaluation benchmark with embodied abilities;

4. Work closely with the algorithm development team (and third parties) to promote embodied model iteration and application scenario landing, and solve deployment issues.

Requirements:

1. Master's degree or above, majoring in Automation, Robotics, Mechatronics Engineering, Artificial Intelligence, etc., Bachelor's degree or above, those with 2 years or above of algorithm development experience are preferred.

2. Familiar with C++/Python, with ROS/ROS2, Gazebo, Isaac Sim, etc., robot simulation and experimental experience.

3. Master the basics of robot kinematics and dynamics, be familiar with control strategies such as PID and MPC, and have solid mathematical and system modeling foundations. ;

4. Proficient in robot kinematics, dynamics modeling, force control algorithm, and grasping control theory;

5. Candidates with collaborative/control mechanical arm project experience are preferred; those familiar with robot mechanical configuration design or dynamics simulation are preferred;