Control Engineer (Legged Locomotion)

We are looking for a Control Engineer with strong fundamentals in classical and modern control systems to support the deployment of stable and robust control on legged robotic platforms.

Key Responsibilities

• Design, analyse, and implement control algorithms for legged locomotion systems.
• Design and deploy Model Predictive Controllers (MPC) for balancing and trajectory tracking.
• Develop and tune classical controllers including PID, lead-lag, state-space, and observer-based controllers.
• Analyse system stability using Nyquist plots, Bode plots, root locus, Lyapunov stability, and frequency-domain methods.
• Model and control nonlinear dynamic systems including inverted pendulum and double inverted pendulum systems.
• Work on dynamic balancing, disturbance rejection, contact stability, and whole-body control concepts.
• Validate controllers through simulation and real-world robotic deployment.

Required Qualifications

• Minimum Master’s degree in Robotics, Control Systems, Mechanical Engineering, Electrical Engineering, or a related field.
• Strong background in Control Theory, Dynamics, and Robotics.
• Experience with stability analysis and classical control methodologies.
• Hands-on experience with MPC deployment in real-time systems.
• Familiarity with legged robot dynamics and locomotion principles.
• Proficiency in MATLAB/Simulink, Python, or C++.
• Understanding of nonlinear systems and trajectory optimisation is preferred.

Preferred Experience

• Experience with humanoids, quadrupeds, or double inverted pendulums systems.
• Knowledge of ROS/ROS2 and simulation tools such as Gazebo or MuJoCo.
• Exposure to real-time embedded control systems and hardware deployment.
• Experience with Reinforcement Learning (RL) for control or locomotion tasks would be a nice to have.