Within a young and dynamic start-up located in the center of Paris, you will participate in the development of exoskeleton control. This work will include aspects of modeling, optimization, trajectory generation, controller synthesis and/or reinforcement learning. You will be tasked with developing the most robust and safe algorithms to ensure the best possible experience for our users.
Reporting to the Head of Dynamic Walking, you will be integrated in the Controls team and will collaborate with the Mechanical and Electronic teams to implement the most recent approaches of robotics.
Your main activities will for example be (non-exhaustive list):
Develop controls algorithms with strategies like linear control, non-linear control, MPC
Train end-to-end or hybrid policies with reinforcement learning
Optimize trajectories offline and online
Write efficient software in C++ and Python
Improve system modeling and simulator realism
Develop state estimation algorithms
Participate in the team’s tests on the exoskeleton
