Control Engineer (Legged Locomotion) (Delhi)

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 energetic 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. Apply on Kit Job: kitjob.in/job/4n0b8r