This paper explores the application of machine learning to motion generation for a humanoid robot tasked with transporting luggage. Two machine learning frameworks, Genesis and Isaac Lab, were used to investigate their suitability for motion generation. Both frameworks largely met the functional requirements, with Isaac Lab being found to be more functional.
FUKATA et al. (Wed,) studied this question.