Teams at UMA

Own the whole-body controller and state estimation for a humanoid robot on real hardware. Responsibilities include designing locomotion and loco-manipulation controllers, floating-base estimation, contact detection, sensor fusion, real-time optimal control, actuator characterization, simulation-to-hardware deployment, model-based and learned policy integration, and diagnostic tooling.

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.