research
∙
03/02/2021
NavTuner: Learning a Scene-Sensitive Family of Navigation Policies
The advent of deep learning has inspired research into end-to-end learni...
share
research
∙
08/23/2020
Good Graph to Optimize: Cost-Effective, Budget-Aware Bundle Adjustment in Visual SLAM
The cost-efficiency of visual(-inertial) SLAM (VSLAM) is a critical char...
research
∙
06/09/2020
Simple and efficient algorithms for training machine learning potentials to force data
Abstract Machine learning models, trained on data from ab initio quantum...
research
∙
03/10/2020
Automated discovery of a robust interatomic potential for aluminum
Atomistic molecular dynamics simulation is an important tool for predict...
research
∙
03/03/2020
Closed-Loop Benchmarking of Stereo Visual-Inertial SLAM Systems: Understanding the Impact of Drift and Latency on Tracking Accuracy
Visual-inertial SLAM is essential for robot navigation in GPS-denied env...
research
∙
08/19/2019
Autonomous, Monocular, Vision-Based Snake Robot Navigation and Traversal of Cluttered Environments using Rectilinear Gait Motion
Rectilinear forms of snake-like robotic locomotion are anticipated to be...
research
∙
01/28/2018
Less is more: sampling chemical space with active learning
The development of accurate and transferable machine learning (ML) poten...
research
∙
01/16/2018
Learning to Navigate: Exploiting Deep Networks to Inform Sample-Based Planning During Vision-Based Navigation
Recent applications of deep learning to navigation have generated end-to...
research
∙
09/29/2017