collaborators

6 papers

eess.SY2026

Interception-Driven Inverse Reachability for Engagement Zone Construction

Grant Stagg, Cameron K. Peterson, Alexander Von Moll +1

In contested environments, autonomous vehicles may need to plan around adversarial pursuers whose launch locations are unknown. This paper presents an interception-driven inverse-r…

cs.RO2026

Integrated Exploration-Aware UAV Route Optimization and Path Planning

Jimin Choi, Grant Stagg, Cameron K. Peterson +1

Uncrewed aerial vehicles (UAVs) are increasingly used for exploration-driven monitoring in hazardous environments such as disaster zones, contaminated sites, wildfire areas, and da…

math.OC2026

Bi-Level Route Optimization and Path Planning with Hazard Exploration

Jimin Choi, Grant Stagg, Cameron K. Peterson +1

Effective risk monitoring in dynamic environments such as disaster zones requires an adaptive exploration strategy to detect hidden threats. We propose a bi-level unmanned aerial v…

cs.RO2026

Inferring Turn-Rate-Limited Engagement Zones with Sacrificial Agents for Safe Trajectory Planning

Grant Stagg, Cameron K. Peterson

This paper presents a learning-based framework for estimating pursuer parameters in turn-rate-limited pursuit-evasion scenarios using sacrificial agents. Each sacrificial agent fol…

cs.RO2025

Probabilistic Weapon Engagement Zones for a Turn Constrained Pursuer

Grant Stagg, Isaac E. Weintraub, Cameron K. Peterson

Curve-straight probabilistic engagement zones (CSPEZ) quantify the spatial regions an evader should avoid to reduce capture risk from a turn-rate-limited pursuer following a curve-…

math.OC2025

Cooperative Multi-Agent Path Planning for Heterogeneous UAVs in Contested Environments

Grant Stagg, Cameron K. Peterson

This paper addresses the challenge of navigating unmanned aerial vehicles in contested environments by introducing a cooperative multi-agent framework that increases the likelihood…