1 citations · 1 across the 5 of their papers we have counts for
6 papers
Online Geometric Change Detection via Scene Decomposition
David Thorne, Samuel Jia Cong Chua, Nakul Joshi +4
Autonomous robots are increasingly deployed on long duration single- and multi-session missions in dynamic environments, where the ability to identify environmental changes such as…
OptMap: Geometric Map Distillation via Submodular Maximization
David Thorne, Nathan Chan, Christa S. Robison +2
Autonomous robots rely on geometric maps to inform a diverse set of perception and decision-making algorithms. As autonomy requires reasoning and planning on multiple scales, each…
Information Control Barrier Functions: Preventing Localization Failures in Mobile Systems Through Control
Samuel G. Gessow, David Thorne, Brett T. Lopez
This paper develops a new framework for preventing localization failures in mobile systems that must estimate their state using measurements. Safety is guaranteed by imposing the n…
LiDAR Inertial Odometry And Mapping Using Learned Registration-Relevant Features
Zihao Dong, Jeff Pflueger, Leonard Jung +5
SLAM is an important capability for many autonomous systems, and modern LiDAR-based methods offer promising performance. However, for long duration missions, existing works that ei…
Submodular Optimization for Keyframe Selection & Usage in SLAM
David Thorne, Nathan Chan, Yanlong Ma +3
Keyframes are LiDAR scans saved for future reference in Simultaneous Localization And Mapping (SLAM), but despite their central importance most algorithms leave choices of which sc…
Multi-Robot Task Assignment and Path Finding for Time-Sensitive Missions with Online Task Generation
David Thorne, Brett T. Lopez
Executing time-sensitive multi-robot missions involves two distinct problems: Multi-Robot Task Assignment (MRTA) and Multi-Agent Path Finding (MAPF). Computing safe paths that comp…