collaborators

8 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…

cs.RO2026

Task Allocation and Motion Planning in Dynamic, Cluttered Environments via CBBA and Graphs of Convex Sets

Matthew D. Osburn, Cameron K. Peterson, John L. Salmon

Multi-agent task planning in cluttered, dynamic environments requires assigning tasks to agents while simultaneously determining safe, time-efficient trajectories through the envir…

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-…