自然な全身運動パターンを複製し、シームレスな移行を実現するためのWasserstein Adversarial Imitation Learning Systemが紹介されました。
The author presents a novel Wasserstein adversarial imitation learning system that enables humanoid robots to acquire natural locomotion skills by imitating human demonstrations. The approach involves a unified primitive-skeleton motion retargeting technique and the use of the Wasserstein-1 distance with soft boundary constraints to ensure stable training dynamics.