Industrial Speakers
• Bosch - Anna Mannucci
• E80 Group - Andrea Testa
"From MAPF to Industry: Challenges and Practical Considerations"
In this talk, we will discuss the applicability of MAPF algorithms to industrial contexts with mixed traffic, such as production line servicing. Starting with classic approaches in the scientific literature, we will analyze the main barriers to their direct implementation in real-world applications and explore possible solutions.
• SACMI - Valerio Digani
"MAPF in the Field: A SACMI Intralogistics Perspective"
Industrial AGV fleets run lifelong, on roadmaps, with different vehicle kinematics, unexpected obstacles and destinations that are not always free: conditions far from classical MAPF assumptions. We share the SACMI Intralogistics perspective on what it takes to keep traffic flowing in production, and the open challenges we would like research to address.
Academic Speakers
• Mariagrazia Dotoli – Politecnico di Bari
"Management and Control of Mobile Robot Fleets for Industrial Logistics"
Mobile robot fleets are increasingly central to warehouse automation and industrial logistics. Their effective deployment requires coordination strategies that ensure collision-free operations while addressing congestion, computational scalability, and the constraints of real industrial environments. This talk will discuss these challenges from a fleet management and control perspective, focusing on multi-robot planning and traffic coordination. It will present methodological approaches for the efficient and reliable coordination of mobile robot fleets, discussing their potential and limitations in complex operational settings. Application examples inspired by industrial logistics will illustrate how these approaches can help bridge the gap between multi-robot systems research and practical deployment.
• Giuseppe Notarstefano – University of Bologna
"Distributed Intelligence and Mixed-Reality Toolboxes for Cooperative Autonomous Robots"
The talk will give an overview on distributed learning and optimization algorithms that allow teams of autonomous robots to self coordinate for the accomplishment of complex industrial tasks. Then mixed-reality toolboxes based on ROS 2 will be presented together with example applications showing the effectiveness of the algorithms.
• Andrea Gasparri – Roma Tre University
A Distributed Framework for Integrated Task Allocation and Safe Coordination in Networked Multi-robot Systems
Deploying multi-robot systems in real operational environments, such as agricultural fields or outdoor logistics yards, faces a practical barrier: communication infrastructure is often unavailable, unreliable, or costly to deploy, so robots must coordinate without a central unit while staying within communication range. We present a distributed framework for integrated task allocation and coordination. In this framework, robots decide among themselves who serves each new request. Each robot then reaches its location while avoiding obstacles, including humans, and keeping the team connected. Staying connected can prevent robots from reaching distant locations simultaneously, bringing the team to a deadlock. The framework resolves this by temporarily postponing certain requests, allowing free robots to act as communication bridges. Every request is guaranteed to be served in finite time.