- San Francisco, California, United States
- Hybrid
- Full-time · Senior
- 5+ years
Responsible for the design, development, testing and validation of the high-level control system for a powered leg exoskeleton, including gait phase estimation, activity detection, and natural assistance delivery.
Responsibilities
- Own the high-level exoskeleton control architecture, from sensing and state estimation to torque commands
- Develop and tune gait phase estimation, activity recognition and transition detection using IMU, encoder and torque sensor data
- Design assistance strategies and torque profiles that adapt to users, speeds, and terrain
- Explore and deploy learning-based control methods on embedded hardware
- Build and maintain simulation and modeling tools like MuJoCo, OpenSim, MATLAB/Simulink
Requirements
- Nice to have: lower-limb exoskeletons
- Nice to have: powered prostheses
- Nice to have: ML-based controllers
- Nice to have: reinforcement learning controllers
- Nice to have: series elastic actuators