Justin S. Smith

According to our database, Justin S. Smith authored at least 16 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

AeriaLPiPS: A Local Planner for Aerial Vehicles with Geometric Collision Checking.

Justin S. Smith, Patricio A. Vela

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

GPF-BG: A Hierarchical Vision-Based Planning Framework for Safe Quadrupedal Navigation.

Shiyu Feng, Ziyi Zhou, Justin S. Smith, Max Asselmeier, Ye Zhao, Patricio A. Vela

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2021

NavTuner: Learning a Scene-Sensitive Family of Navigation Policies.

Haoxin Ma, Justin S. Smith, Patricio A. Vela

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

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

Good Graph to Optimize: Cost-Effective, Budget-Aware Bundle Adjustment in Visual SLAM.

Yipu Zhao, Justin S. Smith, Patricio A. Vela

CoRR, 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

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

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

egoTEB: Egocentric, Perception Space Navigation Using Timed-Elastic-Bands.

Justin S. Smith, Ruoyang Xu, Patricio A. Vela

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

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

2018

Less is more: sampling chemical space with active learning.

Justin S. Smith, Ben Nebgen, Nicholas Lubbers, Olexandr Isayev, Adrian E. Roitberg

CoRR, 2018

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

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

PiPS: Planning in perception space.

Justin S. Smith, Patricio A. Vela

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2015

Real-time changes to social dynamics in human-robot turn-taking.

Justin S. Smith, Crystal Chao, Andrea Lockerd Thomaz

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014

CADENCE for Collaboration and Companionship with Robots.

Crystal Chao, Justin S. Smith, Andrea Thomaz

Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014