most citedPursuit-Evasion on a Sphere and When It Can Be Considered Flat

1 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

math.OC2024

Multi Agent Pathfinding for Noise Restricted Hybrid Fuel Unmanned Aerial Vehicles

Drew Scott, Satyanarayana G. Manyam, David W. Casbeer +2

Multi Agent Path Finding (MAPF) seeks the optimal set of paths for multiple agents from respective start to goal locations such that no paths conflict. We address the MAPF problem…

math.OC20241 cited

Pursuit-Evasion on a Sphere and When It Can Be Considered Flat

Dejan Milutinovic, Alexander Von Moll, Satyanarayana G. Manyam +3

In classical works on a planar differential pursuit-evasion game with a faster pursuer, the intercept point resulting from the equilibrium strategies lies on the Apollonius circle.…

math.OC2024

Sampling-Based Risk-Aware Path Planning Around Dynamic Engagement Zones

Artur Wolek, Isaac E. Weintraub, Alexander Von Moll +2

Existing methods for avoiding dynamic engagement zones (EZs) and minimizing risk leverage the calculus of variations to obtain optimal paths. While such methods are deterministic,…

math.OC20241 cited

Noise Aware Path Planning and Power Management of Hybrid Fuel UAVs

Drew Scott, Satyanarayana G. Manyam, Isaac E. Weintraub +2

Hybrid fuel Unmanned Aerial Vehicles (UAV), through their combination of multiple energy sources, offer several advantages over the standard single fuel source configuration, the p…

math.OC2023

Basic Engagement Zones

Alexander Von Moll, Isaac E. Weintraub

This paper establishes a more formal definition for an Engagement Zone (EZ) and derives some basic EZs associated with fundamental engagement models associated with pursuit-evasion…

math.OC2023

Escape from an Orbiting Pursuer with a Nonzero Capture Radius

Braulio Mora, Alexander Von Moll, Isaac Weintraub +2

This paper explores a multi-agent containment problem, where a fast evader, modeled having constant speed and using constant heading, attempts to escape a circular containment regi…