activity
20212025
collaborators

6 papers

cs.RO2025

Infrastructure-based Autonomous Mobile Robots for Internal Logistics -- Challenges and Future Perspectives

Erik Brorsson, Kristian Ceder, Ze Zhang +11

The adoption of Autonomous Mobile Robots (AMRs) for internal logistics is accelerating, with most solutions emphasizing decentralized, onboard intelligence. While AMRs in indoor en…

cs.RO2025

Combining High Level Scheduling and Low Level Control to Manage Fleets of Mobile Robots

Sabino Francesco Roselli, Ze Zhang, Knut Åkesson

The deployment of mobile robots for material handling in industrial environments requires scalable coordination of large fleets in dynamic settings. This paper presents a two-layer…

cs.AI2025

A Comparative Study of SMT and MILP for the Nurse Rostering Problem

Alvin Combrink, Stephie Do, Kristofer Bengtsson +2

The effects of personnel scheduling on the quality of care and working conditions for healthcare personnel have been thoroughly documented. However, the ever-present demand and lar…

eess.SY2025

Prioritized Planning for Continuous-time Lifelong Multi-agent Pathfinding

Alvin Combrink, Sabino Francesco Roselli, Martin Fabian

Multi-agent Path Finding (MAPF) is the problem of planning collision-free movements of agents so that they get from where they are to where they need to be. Commonly, agents are lo…

eess.SY2022

A Compositional Algorithm for the Conflict-Free Electric Vehicle Routing Problem

Sabino Francesco Roselli, Per-Lage Götvall, Martin Fabian +1

The Conflict-Free Electric Vehicle Routing Problem (CF-EVRP) is an extension of the Vehicle Routing Problem (VRP), a combinatorial optimization problem of designing routes for vehi…

cs.AI2021

An SMT Based Compositional Algorithm to Solve a Conflict-Free Electric Vehicle Routing Problem

Sabino Francesco Roselli, Martin Fabian, Knut Åkesson

The Vehicle Routing Problem (VRP) is the combinatorial optimization problem of designing routes for vehicles to visit customers in such a fashion that a cost function, typically th…