Justin S. Smith

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 17

Top Topics

Automated Discovery

Top Venues

AAAI Fall Symposia

Publications

Shiyu Feng, Ziyi Zhou, Justin S. Smith, Max Asselmeier, Ye Zhao, Patricio A. Vela
GPF-BG: A Hierarchical Vision-Based Planning Framework for Safe Quadrupedal Navigation. ICRA (2023)
Maksim Kulichenko, Kipton Barros, Nicholas Lubbers, Ying Wai Li, Richard A. Messerly, Sergei Tretiak, Justin S. Smith, Benjamin T. Nebgen
Uncertainty-driven dynamics for active learning of interatomic potentials. Nat. Comput. Sci. 3 (3) (2023)
Justin S. Smith, Patricio A. Vela
AeriaLPiPS: A Local Planner for Aerial Vehicles with Geometric Collision Checking. ICRA (2023)
Haoxin Ma, Justin S. Smith, Patricio A. Vela
NavTuner: Learning a Scene-Sensitive Family of Navigation Policies. IROS (2021)
Haoxin Ma, Justin S. Smith, Patricio A. Vela
NavTuner: Learning a Scene-Sensitive Family of Navigation Policies. CoRR (2021)
Yipu Zhao, Justin S. Smith, Sambhu H. Karumanchi, Patricio A. Vela
Closed-Loop Benchmarking of Stereo Visual-Inertial SLAM Systems: Understanding the Impact of Drift and Latency on Tracking Accuracy. CoRR (2020)
Yipu Zhao, Justin S. Smith, Patricio A. Vela
Good Graph to Optimize: Cost-Effective, Budget-Aware Bundle Adjustment in Visual SLAM. CoRR (2020)
Yipu Zhao, Justin S. Smith, Sambhu H. Karumanchi, Patricio A. Vela
Closed-Loop Benchmarking of Stereo Visual-Inertial SLAM Systems: Understanding the Impact of Drift and Latency on Tracking Accuracy. ICRA (2020)
Justin S. Smith, Benjamin Nebgen, Nithin Mathew, Jie Chen, Nicholas Lubbers, Leonid Burakovsky, Sergei Tretiak, Hai Ah Nam, Timothy C. Germann, Saryu Fensin, Kipton Barros
Automated discovery of a robust interatomic potential for aluminum. CoRR (2020)
Xiang Gao, Farhad Ramezanghorbani, Olexandr Isayev, Justin S. Smith, Adrian E. Roitberg
TorchANI: A Free and Open Source PyTorch-Based Deep Learning Implementation of the ANI Neural Network Potentials. J. Chem. Inf. Model. 60 (7) (2020)
Justin S. Smith, Ruoyang Xu, Patricio A. Vela
egoTEB: Egocentric, Perception Space Navigation Using Timed-Elastic-Bands. ICRA (2020)
Alexander H. Chang, Shiyu Feng, Yipu Zhao, Justin S. Smith, Patricio A. Vela
Autonomous, Monocular, Vision-Based Snake Robot Navigation and Traversal of Cluttered Environments using Rectilinear Gait Motion. CoRR (2019)
Justin S. Smith, Jin-Ha Hwang, Fu-Jen Chu, Patricio A. Vela
Learning to Navigate: Exploiting Deep Networks to Inform Sample-Based Planning During Vision-Based Navigation. CoRR (2018)
Justin S. Smith, Ben Nebgen, Nicholas Lubbers, Olexandr Isayev, Adrian E. Roitberg
Less is more: sampling chemical space with active learning. CoRR (2018)
Justin S. Smith, Olexandr Isayev, Adrian E. Roitberg
ANI-1: A data set of 20M off-equilibrium DFT calculations for organic molecules. CoRR (2017)
Justin S. Smith, Patricio A. Vela
PiPS: Planning in perception space. ICRA (2017)
Justin S. Smith, Crystal Chao, Andrea Lockerd Thomaz
Real-time changes to social dynamics in human-robot turn-taking. IROS (2015)
Crystal Chao, Justin S. Smith, Andrea Thomaz
CADENCE for Collaboration and Companionship with Robots. AAAI Fall Symposia (2014)