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MIT and Mecalux launch a groundbreaking project to accelerate logistics innovation

03.12.2024

The Massachusetts Institute of Technology Center for Transportation & Logistics (MIT CTL) and intralogistics group Mecalux have kicked off a five-year collaborative project to expedite the integration of self-learning artificial intelligence (AI) in logistics. Through MIT’s Intelligent Logistics Systems Lab, the two institutions will explore new applications of AI models with significant potential for businesses and society.

»The objective of our collaboration with Mecalux is to foster disruptive innovation andachieve two highly impactful use caseswhere AI transforms industry decision-making. We will train complex self-learning machine learning models to ultimately reduce costs, lower carbon footprints and improve service quality for customers,« saysDr. Matthias Winkenbach, Director of Research at MIT CTL and the Intelligent Logistics Systems Lab.

In the first yearof this cutting-edge project, the teams at theIntelligent Logistics Systems Laband Mecalux will developtwo key research areasto accelerate innovation. The first will focus on increasing theproductivity of autonomous warehouse robots. Using advanced simulation, optimisation andmachine learningtechniques, researchers will develop a »swarm intelligence« system enabling multiple robots to operate as a single entity, making collective decisions. »We aim to create a new generation of autonomous robots that learn from human behaviour to foster greater collaboration and efficiency in warehouses,« says Winkenbach.

The second research area will centre ontraining self-learning AI models. The Intelligent Logistics Systems Lab will design systems capable of learning from demand patterns andanticipating new customer purchasing habits. »Current distribution systems fail to account for the full complexity of logistics networks and often make strong simplifying assumptions. This project seeks to help companies operating large networks of warehouses, distribution centres and stores automatically determine themost efficient way to fulfil each ordertaking into account the real-time status of the distribution network,« says Winkenbach.

This research partnership between MIT CTL and Mecalux will help logistics experts, warehouse staff and carriersperform their jobs with maximum precision. »Having contributed to founding MIT’s Intelligent Logistics Systems Lab, Mecalux has leveraged its practical expertise in warehousing and its software and automation experts to support MIT’s research. The goal is to transform companies’ logistics operations to achieve greater efficiency,« saysJavier Carrillo, CEO of warehouse technology company Mecalux.