Data-Driven Distributionally Robust Optimal Control with State-Dependent Noise. - Rui Liu 040; Guangyao Shi; Pratap Tokekar (IROS, 2023)

LAVA: Long-horizon Visual Action based Food Acquisition. - Amisha Bhaskar; Rui Liu 040; Vishnu D. Sharma; Guangyao Shi; Pratap Tokekar (IROS, 2024)

Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis. - Rui Liu 040; Erfaun Noorani; Pratap Tokekar; John S. Baras (CoRR, 2024)

Adaptive Visual Imitation Learning for Robotic Assisted Feeding Across Varied Bowl Configurations and Food Types. - Rui Liu 040; Amisha Bhaskar; Pratap Tokekar (CoRR, 2024)

IMRL: Integrating Visual, Physical, Temporal, and Geometric Representations for Enhanced Food Acquisition. - Rui Liu 040; Zahiruddin Mahammad; Amisha Bhaskar; Pratap Tokekar (ICRA, 2025)

AUKT: Adaptive Uncertainty-Guided Knowledge Transfer with Conformal Prediction. - Rui Liu 040; Peng Gao; Yu Shen; Ming Lin; Pratap Tokekar (CoRR, 2025)

CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems. - Rui Liu 040; Yu Shen; Peng Gao; Pratap Tokekar; Ming Lin (CoRR, 2025)

MMCD: Multi-Modal Collaborative Decision-Making for Connected Autonomy with Knowledge Distillation. - Rui Liu 040; Zikang Wang; Peng Gao; Yu Shen; Pratap Tokekar; Ming Lin (CoRR, 2025)