The Utility of Explainable AI in Ad Hoc Human-Machine Teaming. - Rohan R. Paleja; Muyleng Ghuy; Nadun Ranawaka Arachchige; Reed Jensen; Matthew C. Gombolay (NeurIPS, 2021)

What Matters in Learning from Large-Scale Datasets for Robot Manipulation. - Vaibhav Saxena; Matthew Bronars; Nadun Ranawaka Arachchige; Kuancheng Wang; Woo-Chul Shin; Soroush Nasiriany; Ajay Mandlekar; Danfei Xu (ICLR, 2025)

RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution. - Wonsuhk Jung; Dennis Anthony; Utkarsh A. Mishra; Nadun Ranawaka Arachchige; Matthew Bronars; Danfei Xu; Shreyas Kousik (ICRA, 2025)

SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies. - Nadun Ranawaka Arachchige; Zhenyang Chen; Wonsuhk Jung; Woo-Chul Shin; Rohan Bansal; Pierre Barroso; Yu Hang He; Yingyang Celine Lin; Benjamin Joffe; Shreyas Kousik; Danfei Xu (CoRR, 2025)

Joint Model-based Model-free Diffusion for Planning with Constraints. - Wonsuhk Jung; Utkarsh A. Mishra; Nadun Ranawaka Arachchige; Yongxin Chen; Danfei Xu; Shreyas Kousik (CoRR, 2025)