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Brady G. Moon

5 accepted papers

2025

Hierarchical Planning for Long-Horizon Multi-Target Tracking Under Target Motion Uncertainty

RA-L 2025

Achieving persistent tracking of multiple dynamic targets over a large spatial area poses significant challenges for a single-robot system with constrained sensing capabilities. As the robot moves to track different targets, the ones outside the field of view accumulate uncertainty, making them prog

Cited by 1SourceScholar
2025

MapEx: Indoor Structure Exploration with Probabilistic Information Gain from Global Map Predictions

ICRA 2025

Exploration is a critical challenge in robotics, centered on understanding unknown environments. In this work, we focus on structured indoor environments, which often exhibit predictable, repeating patterns. Conventional frontier-based exploration approaches have difficulty leveraging this predictab

Cited by 27SourcecodeScholar
2025

PIPE Planner: Pathwise Information Gain with Map Predictions for Indoor Robot Exploration

IROS 2025

Autonomous exploration in unknown environments requires estimating the information gain of an action to guide planning decisions. While prior approaches often compute information gain at discrete waypoints, pathwise integration offers a more comprehensive estimation but is often computationally chal

Cited by 10SourcecodeScholar
2024

Time-Optimal Path Planning in a Constant Wind for Uncrewed Aerial Vehicles Using Dubins Set Classification

RA-L 2024

Time-optimal path planning in high winds for a turning-rate constrained Uncrewed Aerial Vehicle is a challenging problem to solve and is important for deployment and field operations. Previous works have used trochoidal path segments comprising straight and maximum-rate turn segments, as optimal ext

Cited by 9SourcecodeScholar
2020

Wind and the City: Utilizing UAV-Based In-Situ Measurements for Estimating Urban Wind Fields

IROS 2020poster

A high-quality estimate of wind fields can potentially improve the safety and performance of Unmanned Aerial Vehicles (UAVs) operating in dense urban areas. Computational Fluid Dynamics (CFD) simulations can help provide a wind field estimate, but their accuracy depends on the knowledge of the distr…

Cited by 35SourceScholar