Zipen Fu from Stanford AI Lab discusses how two approaches in robotics – Robot Parkour Learning and Imitation Learning – are advancing the field. He shares about the data collection pipeline that he and his collaborators set up to build the necessary dataset (Mobile ALOHA) and highlights the algorithms they found to be more efficient