2 of 2 Sensor Fusion Jobs in the South East

MPC, RL, ROS2, custom hardware 🤖 Robots : Full-size humanoid platforms with real-world deployment targets 📚 Domains : RL for locomotion, whole-body control, balance optimization, sensor fusion What You’ll Do: Develop and implement control algorithms (classic or RL-based ) for complex locomotion tasks — including walking, squatting, stair climbing … imitation learning, or hybrid controllers blending learning and classical methods Nice to Have: Familiarity with real-time control systems and low-level hardware integration Sensor fusion knowledge (IMUs, joint encoders, force/torque sensors) Deep understanding of actuator modeling and dynamics Experience in gait optimization, compliance testing, and More ❯

control systems that combine classic and modern methods. Familiarity with real-time control systems and integration with hardware, including actuators and sensors. Expertise in sensor fusion for state estimation (IMUs, joint encoders, force/torque sensors) to enable robust balance and locomotion control. Preferred Qualifications : Understanding of actuators More ❯