CADENCE for Collaboration and Companionship with Robots. - Crystal Chao; Justin S. Smith; Andrea Thomaz (AAAI Fall Symposia, 2014)

Real-time changes to social dynamics in human-robot turn-taking. - Justin S. Smith; Crystal Chao; Andrea Lockerd Thomaz (IROS, 2015)

PiPS: Planning in perception space. - Justin S. Smith; Patricio A. Vela (ICRA, 2017)

ANI-1: A data set of 20M off-equilibrium DFT calculations for organic molecules. - Justin S. Smith; Olexandr Isayev; Adrian E. Roitberg (CoRR, 2017)

Learning to Navigate: Exploiting Deep Networks to Inform Sample-Based Planning During Vision-Based Navigation. - Justin S. Smith; Jin-Ha Hwang; Fu-Jen Chu; Patricio A. Vela (CoRR, 2018)

Less is more: sampling chemical space with active learning. - Justin S. Smith; Ben Nebgen; Nicholas Lubbers; Olexandr Isayev; Adrian E. Roitberg (CoRR, 2018)

Autonomous, Monocular, Vision-Based Snake Robot Navigation and Traversal of Cluttered Environments using Rectilinear Gait Motion. - Alexander H. Chang; Shiyu Feng; Yipu Zhao; Justin S. Smith; Patricio A. Vela (CoRR, 2019)

egoTEB: Egocentric, Perception Space Navigation Using Timed-Elastic-Bands. - Justin S. Smith; Ruoyang Xu; Patricio A. Vela (ICRA, 2020)

Closed-Loop Benchmarking of Stereo Visual-Inertial SLAM Systems: Understanding the Impact of Drift and Latency on Tracking Accuracy. - Yipu Zhao; Justin S. Smith; Sambhu H. Karumanchi; Patricio A. Vela (ICRA, 2020)

Automated discovery of a robust interatomic potential for aluminum. - Justin S. Smith; Benjamin T. Nebgen; Nithin Mathew; Jie Chen; Nicholas Lubbers; Leonid Burakovsky; Sergei Tretiak; Hai Ah Nam; Timothy C. Germann; Saryu Fensin; Kipton Barros (CoRR, 2020)

Good Graph to Optimize: Cost-Effective, Budget-Aware Bundle Adjustment in Visual SLAM. - Yipu Zhao; Justin S. Smith; Patricio A. Vela (CoRR, 2020)

TorchANI: A Free and Open Source PyTorch-Based Deep Learning Implementation of the ANI Neural Network Potentials. - Xiang Gao; Farhad Ramezanghorbani; Olexandr Isayev; Justin S. Smith; Adrian E. Roitberg (J. Chem. Inf. Model., 2020)

NavTuner: Learning a Scene-Sensitive Family of Navigation Policies. - Haoxin Ma; Justin S. Smith; Patricio A. Vela (IROS, 2021)

GPF-BG: A Hierarchical Vision-Based Planning Framework for Safe Quadrupedal Navigation. - Shiyu Feng; Ziyi Zhou; Justin S. Smith; Max Asselmeier; Ye Zhao 002; Patricio A. Vela (ICRA, 2023)

AeriaLPiPS: A Local Planner for Aerial Vehicles with Geometric Collision Checking. - Justin S. Smith; Patricio A. Vela (ICRA, 2023)

Uncertainty-driven dynamics for active learning of interatomic potentials. - Maksim Kulichenko; Kipton Barros; Nicholas Lubbers; Ying Wai Li; Richard A. Messerly; Sergei Tretiak; Justin S. Smith; Benjamin T. Nebgen (Nat. Comput. Sci., 2023)

Improving Bond Dissociations of Reactive Machine Learning Potentials through Physics-Constrained Data Augmentation. - Luan G. F. dos Santos; Benjamin T. Nebgen; Alice E. A. Allen; Brenden W. Hamilton; Sakib Matin; Justin S. Smith; Richard A. Messerly (J. Chem. Inf. Model., 2025)

Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE. - Jesun Firoz; Franco Pellegrini; Mario Geiger; Darren Hsu; Jenna A. Bilbrey; Han-Yi Chou; Maximilian Stadler; Markus Hoehnerbach; Tingyu Wang; Dejun Lin; Emine Küçükbenli; Henry W. Sprueill; et al. (CoRR, 2025)