Louis-Martin Rousseau
Polytechnique Montréal, Centre Interuniversitaire de Recherche et d’Ingénierie des Matériaux
Papers
5
Total Citations
55
H-Index
4
About
Louis-Martin Rousseau is a researcher whose work sits at the intersection of operations research, machine learning, and intelligent automation, with a particular focus on e-commerce logistics and robotic warehouse systems. His most recognized contribution, "Robotic Mobile Fulfillment Systems: A Mathematical Modelling Framework for E-Commerce Applications" (2021, 37 citations), establishes a rigorous optimization framework for next-generation automated warehouses, where fleets of small robots dynamically retrieve and store inventory shelves. This foundational work has influenced subsequent research on real-time storage allocation and learning-based warehouse policies, areas Rousseau continues to advance through deep reinforcement learning and supervised learning approaches. His application of graph neural networks and deep reinforcement learning to Cyberknife radiotherapy planning demonstrates an impressive breadth, extending his algorithmic expertise into healthcare optimization to reduce robotic arm treatment times. Collectively, his portfolio reflects a commitment to deploying advanced AI and mathematical modeling in complex, real-world sequential decision-making environments. With growing citation impact and continued publications through 2025, Rousseau is establishing himself as a meaningful contributor to the rapidly evolving field of intelligent automation for supply chain and medical applications.
Research Focus
Key Achievements
Top Papers
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- 2E-commerce warehousing: learning a storage policy7 citations · 2021
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