Teams at UMA

Develop and implement learning-based control systems for humanoid robots, using reinforcement learning and other techniques, while optimizing performance and conducting experiments.

Develop simulation environments for humanoid locomotion, implementing and testing control strategies, and enhancing motion through reinforcement learning and optimization.

This open candidate position invites individuals passionate about Robotics and AI to propose innovative ideas and solutions in a fast-paced startup environment.