Simon Ware

MOH Holdings, Nanyang Technological University

Papers

Total Citations

H-Index

About

Simon Ware is a researcher whose work lies at the intersection of discrete event systems and multi-robot coordination, with a particular focus on solving the computationally formidable problem of collision-free motion planning. His key research areas include multi-robot path planning, discrete event control, and scheduling optimization. Ware’s major contributions center on developing tractable, heuristic-based approaches to the PSPACE-complete problem of coordinating multiple robots along pre-planned trajectories. His most cited work, “A Discrete Event Formulation for Multi-Robot Collision Avoidance on Pre-planned Trajectories” (2020, 12 citations), introduces a novel automata-based model that frames collision avoidance as a discrete event system, enabling efficient minimization of maximum travel time. This builds on his earlier foundational paper, “Incremental scheduling of discrete event systems” (2016, 10 citations), which addresses the inherent incompleteness of standard algorithms by proposing an incremental scheduling method. Ware’s research is notable for its practical impact: by trading theoretical guarantees for computational tractability, his heuristic algorithms (e.g., his 2017 work on execution time optimization) offer scalable solutions for real-world robotic fleets, making him a key figure in advancing the feasibility of multi-robot systems in structured environments.