Marco Brocanelli
Papers
3
Total Citations
41
H-Index
3
About
Marco Brocanelli is a leading researcher at the intersection of autonomous mobile robotics (AMRs) and sustainable cyber-physical systems. His work focuses on solving critical operational challenges for AMR fleets, particularly in energy management, task scheduling, and long-term system reliability. Brocanelli’s most influential contribution is the "E2M" framework (2019, 26 citations), which addresses the power and performance trade-offs of on-board computer-vision applications—such as object detection and face recognition—that are essential for autonomous guidance and security patrols. He has since advanced the field with a maintenance-aware approach (2023, 9 citations) that integrates task allocation and charging coordination to enable 24/7, uninterrupted fleet operations. His 2022 work on high-quality battery life (6 citations) further tackles the challenge of minimizing task downtime while preserving battery health. Brocanelli’s research is notable for bridging the gap between immediate operational efficiency and long-term sustainability, offering practical solutions for industrial AMR deployments. His work is widely cited by engineers and researchers seeking to optimize autonomous systems for real-world, round-the-clock applications.
Research Focus
Key Achievements
Top Papers
- 1E2M26 citations · 2019
- 2
- 3Towards High-Quality Battery Life for Autonomous Mobile Robot Fleets6 citations · 2022