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cs.RO2026★ 1 cited
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…
cs.RO2024
Informative Sensor Planning for a Single-Axis Gimbaled Camera on a Fixed-Wing UAV
Aditya Parandekar, Brady Moon, Nayana Suvarna +1
Uncrewed Aerial Vehicles (UAVs) are a leading choice of platforms for a variety of information-gathering applications. Sensor planning can enhance the efficiency and success of the…