Michiel Aernouts

Papers

Total Citations

H-Index

About

Michiel Aernouts is a leading researcher in the field of multi-robot systems and energy-efficient swarm robotics, with a particular focus on ambiently-powered autonomous agents. His most-cited work, "Energy-aware multi-robot task scheduling using meta-heuristic optimization methods for ambiently-powered robot swarms" (2024, 22 citations), introduces novel approaches to scheduling tasks in robot swarms that harvest energy from their environment. Aernouts’ major contribution lies in developing meta-heuristic optimization algorithms that enable robot teams to dynamically allocate tasks while managing limited, unpredictable energy budgets—a critical challenge for long-duration missions in remote or hazardous settings. His research bridges the gap between theoretical optimization and practical deployment, offering scalable solutions for search-and-rescue, environmental monitoring, and industrial automation. By integrating energy-awareness into multi-robot coordination, Aernouts has advanced the viability of sustainable, self-sufficient robotic systems. His work is highly cited for its immediate applicability and innovative use of nature-inspired algorithms, positioning him as a key figure in the next generation of swarm robotics.