Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration. - Christian Ellis; Maggie B. Wigness; John G. Rogers; Craig Lennon; Lance Fiondella (IROS, 2021)

A Mapping of Assurance Techniques for Learning Enabled Autonomous Systems to the Systems Engineering Lifecycle. - Christian Ellis; Maggie B. Wigness; Lance Fiondella (ICAA, 2022)

Task-guided IRL in POMDPs that scales. - Franck Djeumou; Christian Ellis; Murat Cubuktepe; Craig Lennon; Ufuk Topcu (Artif. Intell., 2023)

A Multifidelity Sim-to-Real Pipeline for Verifiable and Compositional Reinforcement Learning. - Cyrus Neary; Christian Ellis; Aryaman Singh Samyal; Craig Lennon; Ufuk Topcu (ICRA, 2024)

GO: The Great Outdoors Multimodal Dataset. - Peng Jiang; Kasi Viswanath; Akhil Nagariya; George Chustz; Maggie B. Wigness; Philip R. Osteen; Timothy Overbye; Christian Ellis; Long Quang; Srikanth Saripalli (CoRR, 2025)

Multi-Fidelity Policy Gradient Algorithms. - Xinjie Liu; Cyrus Neary; Kushagra Gupta; Christian Ellis; Ufuk Topcu; David Fridovich-Keil (CoRR, 2025)

PSN Game: Game-theoretic Planning via a Player Selection Network. - Tianyu Qiu; Eric Ouano; Fernando Palafox; Christian Ellis; David Fridovich-Keil (CoRR, 2025)

Online Adaptation of Terrain-Aware Dynamics for Planning in Unstructured Environments. - William Ward; Sarah Etter; Tyler Ingebrand; Christian Ellis; Adam J. Thorpe; Ufuk Topcu (CoRR, 2025)

Spatiotemporal Contrastive Learning for Cross-View Video Localization in Unstructured Off-road Terrains. - Zhiyun Deng; Dongmyeong Lee; Amanda Adkins; Jesse Quattrociocchi; Christian Ellis; Joydeep Biswas (CoRR, 2025)

Foundation Models for Logistics: Toward Certifiable, Conversational Planning Interfaces. - Yunhao Yang; Neel P. Bhatt; Christian Ellis; Alvaro Velasquez; Zhangyang Wang; Ufuk Topcu (CoRR, 2025)

Temporally Consistent Unsupervised Segmentation for Mobile Robot Perception. - Christian Ellis; Maggie B. Wigness; Craig Lennon; Lance Fiondella (CoRR, 2025)