MAD-TN: A Tool for Measuring Fluency in Human-Robot Collaboration. - Seth Isaacson; Gretchen Rice; James C. Boerkoel Jr. (CoRR, 2019)

LONER: LiDAR Only Neural Representations for Real-Time SLAM. - Seth Isaacson; Pou-Chun Kung; Mani Ramanagopal; Ram Vasudevan; Katherine A. Skinner (IEEE Robotics Autom. Lett., 2023)

SAD-GS: Shape-aligned Depth-supervised Gaussian Splatting. - Pou-Chun Kung; Seth Isaacson; Ram Vasudevan; Katherine A. Skinner (CVPR Workshops, 2024)

Let's Make a Splan: Risk-Aware Trajectory Optimization in a Normalized Gaussian Splat. - Jonathan B. Michaux; Seth Isaacson; Challen Enninful Adu; Adam Li; Rahul Kashyap Swayampakula; Parker Ewen; Sean Rice; Katherine A. Skinner; Ram Vasudevan (CoRR, 2024)

Conformalized Reachable Sets for Obstacle Avoidance With Spheres. - Yongseok Kwon; Jonathan B. Michaux; Seth Isaacson; Bohao Zhang; Matthew Ejakov; Katherine A. Skinner; Ram Vasudevan (CoRR, 2024)

Let us Make a Splan: Risk-Aware Trajectory Optimization in a Normalized Gaussian Splat. - Jonathan B. Michaux; Seth Isaacson; Challen Enninful Adu; Adam Li; Rahul Kashyap Swayampakula; Parker Ewen; Sean Rice; Katherine A. Skinner; Ram Vasudevan (IEEE Trans. Robotics, 2025)

These Magic Moments: Differentiable Uncertainty Quantification of Radiance Field Models. - Parker Ewen; Hao Chen; Seth Isaacson; Joey Wilson; Katherine A. Skinner; Ram Vasudevan (CoRR, 2025)