Advanced Intralogistics Systems: Optimisation of AMR fleets and Human-Machine Interaction

Department

Enzo Ferrari Department of Engineering, University of Modena and Reggio Emilia (UNIMORE)

Main research activities/topics/projects

 This research project focuses on the operational management and optimisation of advanced, automated intralogistics systems within smart factories. The candidate will study the dynamic routing, scheduling, and task allocation of Autonomous Mobile Robots (AMR) and Automated Guided Vehicles (AGV) fleets. A significant portion of the research will be dedicated to the human-centric approach characteristic of Industry 5.0. This involves evaluating and modelling the safe, ergonomic, and efficient interaction between autonomous technologies and human operators in modern warehouses and assembly lines. Methodologies applied will include mixed-integer linear programming, heuristic algorithms, or reinforcement learning.

Special entry requirements

Candidates should have a solid academic background in Industrial Engineering, Operations Research, or Mechatronics/Robotics. Strong quantitative skills and experience in mathematical modelling and operations research techniques are required. Proficiency in coding (e.g., Python, C++, Java) or optimisation solvers (e.g., Gurobi, CPLEX) is required to test and validate the developed algorithms.

Duration in months (min-max)

PhD sandwich: 6-12

Post Doc: 6 - 24