VinDynamics
AI tóm tắt
Skills bắt buộc
Key Responsibilities
Develop and implement model-based controllers (e.g., PID, whole-body control, MPC) for humanoid locomotion and manipulation.
Design dynamic balance, gait generation, and disturbance recovery algorithms using analytical and optimization-based methods.
Work with estimation engineers to fuse sensor data (IMU, joint encoders, force/torque sensors, vision) for state estimation and feedback control.
Perform system identification and develop accurate dynamic models for control and simulation fidelity.
Conduct experiments to evaluate control robustness, energy efficiency, and locomotion performance metrics.
Requirements
Bachelor or higher in Mechanical Engineering, Robotics, Control Systems, or related field.
Strong background in robot dynamics and control theory, including rigid-body dynamics, optimal control, and nonlinear systems.
Proficiency in C++ and Python for real-time control and simulation.
Hands-on experience with model-based controllers such as MPC, WBC, or impedance control.
Familiarity with ROS / ROS 2, Eigen, and real-time middleware.
Experience with dynamic simulation tools (e.g., Gazebo, PyBullet, MuJoCo, Drake, RaiSim).
Compensation:
– VinDynamics offers a competitive base, full benefits and other incentives. Flexible time-off policy. Focus on output and ability to work with an interdisciplinary team.
Location: Hanoi, Vietnam.
Nguồn: careers VinDynamics
