Supporting reinforcement learning, imitation learning, or model-based learning pipelines * Familiarity with machine learning, reinforcement learning, imitation learning, or optimization - We are looking for motivated students interested in control and learning for humanoid robots. Depending on your background, interests, and the current project needs, you will contribute to research and development topics at the intersection of robot learning, control, simulation, and real-world robotic systems. The work may involve developing and evaluating learning-based control policies, improving simulation and training pipelines, analyzing robot behavior, or supporting the transfer of algorithms from simulation to real robotic platforms. * Developing, testing, and improving control and learning algorithms for humanoid robots * Analyzing robot behavior, failure cases, and learning performance
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