2 papers
cs.RO2026
IA-TIGRIS: An Incremental and Adaptive Sampling-Based Planner for Online Informative Path Planning
Brady Moon, Nayana Suvarna, Andrew Jong +4
Planning paths that maximize information gain for robotic platforms has wide-ranging applications and significant potential impact. To effectively adapt to real-time data collectio…
cs.RO2024
UniSaT: Unified-Objective Belief Model and Planner to Search for and Track Multiple Objects
Leonardo Santos, Brady Moon, Sebastian Scherer +1
Path planning for autonomous search and tracking of multiple objects is a critical problem in applications such as reconnaissance, surveillance, and data gathering. Due to the inhe…