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For the first AI and robotics company in the UK, we're looking highly skilled Senior/Staff Control Engineer to take ownership of the locomotion control systems for biped humanoid robots. This role focuses on designing robust controllers for walking, balancing while manipulating, fall recovery, and other advanced mobility tasks
Responsibilities:
* Design and implement control algorithms (classic or RL-based policies) for locomotion tasks, including walking, balancing while manipulating, squatting, stair climbing, fall recovery, and other dynamic maneuvers.
* Model and simulate complex dynamics, taking into account robot kinematics, actuator limitations, and environmental interactions to optimize performance.
* Conduct rigorous testing in both simulated and real-world environments to validate algorithms and ensure robustness across various conditions.
* Work closely with software, hardware, and perception teams to integrate control strategies into the overall robotic system.
Qualifications:
* Master’s or PhD in Robotics, Control Systems, Mechatronics, or a related field.
* At least 2 years of experience in the design and implementation of control systems for biped robots, focusing on locomotion.
* Understanding of model predictive control (MPC), optimal control, and feedback control loops in dynamic robotic systems.
* Strong expertise in reinforcement learning for robotics
* Deep understanding of humanoid robot dynamics and balance control.
* Strong experience with hardware-in-the-loop testing and deployment on physical humanoid robots.
* Strong hands-on experience with robot simulation platforms such as Mujoco, Isaac Sim or similar environments.
* Proficiency in Python and C++ for algorithm development, testing, and deployment.
* Experience in topics like model-free RL, imitation learning, or hybrid control systems that combine classic and modern methods.
Desirable Skills and Experience
* Familiarity with real-time control systems and integration with hardware, including actuators and sensors.
* Familiarity in sensor fusion for state estimation (IMUs, joint encoders, force/torque sensors) to enable robust balance and locomotion control.
* Understanding of actuators dynamics and modeling
* Knowledge of dynamics and control of legged robots, including whole-body control, balance, and stability management (ZMP, capture point control, etc.).
* Proven experience in robotic system integration, including end-to-end validation of locomotion systems (joint to whole-body motion).
* Familiar with compliance testing, gait optimization, and energy efficiency evaluation for legged robots.
Ready to build the future ?
If you're passionate about robotics and want to work at the frontier of AI and engineering, we’d love to hear from you. Apply now!
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology and Other
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