A new white paper proposes separating high-level motion planning from low-level tracking to help humanoid robots mimic professional athletes. Researchers use broadcast video and motion-capture data to create physically corrected reference motions. This adaptive, speed-aware control reduces the gap between simulation and real-world deployment.