Francesco Betti Sorbelli

University of Perugia, Missouri University of Science and Technology

Papers

Total Citations

H-Index

About

Francesco Betti Sorbelli is a researcher specializing in algorithmic robotics and route optimization, with a particular focus on constrained environments modeled as aisle-graphs. His work addresses fundamental challenges in path planning for robots and drones operating in structured spaces, such as warehouses, agricultural fields, and data collection scenarios. Betti Sorbelli’s major contributions include the formulation and solution of the Orienteering Aisle-Graph Single-Access Problem (OASP), where a robot must maximize collected rewards under travel budget constraints while navigating rows accessible from only one side. He has developed both optimal and heuristic algorithms for these problems, notably extending them to energy- and storage-constrained drones for efficient data collection. His most cited work, "Speeding up Routing Schedules on Aisle Graphs with Single Access" (2022), has garnered 12 citations, reflecting its relevance to logistics and autonomous systems. Through a series of papers from 2020 to 2022, Betti Sorbelli has systematically advanced the understanding of routing in aisle-structures, offering practical solutions that balance computational efficiency with real-world applicability. His research is particularly valuable for students and engineers working on autonomous navigation in constrained industrial or agricultural settings.