Deep RRT. - Xuzhe Dang; Lukás Chrpa; Stefan Edelkamp (SOCS, 2022)

CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations. - Xuzhe Dang; Stefan Edelkamp; Nicolas Ribault (CoRR, 2023)

Data Augmentation in Latent Space with Variational Autoencoder and Pretrained Image Model for Visual Reinforcement Learning. - Xuzhe Dang; Stefan Edelkamp (KI, 2024)

SIL-RRT*: Learning Sampling Distribution through Self Imitation Learning. - Xuzhe Dang; Stefan Edelkamp (CoRR, 2024)

Planning with Vision-Language Models and a Use Case in Robot-Assisted Teaching. - Xuzhe Dang; Lada Kudlácková; Stefan Edelkamp (CoRR, 2025)