Wenli Xiao

Wenli Xiao, a PhD student and robotics researcher, introduces her innovative Probe, Learn, Distill (PLD) method for enhancing vision-language-action models. She details how freezing a VLA's backbone and training lightweight residual actors can improve reliability in complex tasks. Wenli also discusses the use of hybrid rollouts for optimizing data collection and the significance of training on fewer tasks to generalize better on unseen challenges. Her insights on continual learning and practical workflows could reshape the future of robotics!