Antonio Guerrieri
Papers
5
Total Citations
43
H-Index
3
About
Dr. Antonio Guerrieri is a leading researcher in swarm robotics and bio-inspired multi-robot systems, with a focus on search and rescue, foraging, and exploration in complex environments. His most influential work, "Quadruped Robots: Bridging Mechanical Design, Control, and Applications" (2025, 23 citations), provides a comprehensive overview of quadruped robot design and control, establishing a key reference for the field. Dr. Guerrieri is best known for pioneering the integration of Lévy walk patterns with firefly-based algorithms, as demonstrated in his highly cited 2022 paper (12 citations), which significantly improved efficiency in multi-target search and multi-robot foraging tasks. He has further advanced swarm intelligence through novel inverse firefly algorithms (2024) and a penguin optimization strategy for search and rescue operations (2024). His work has accumulated over 43 citations, reflecting its growing impact on autonomous robotics. Dr. Guerrieri’s contributions are particularly notable for addressing real-world challenges—such as post-disaster victim location—by enabling robots to coordinate effectively with limited perception and computation. His research continues to inspire new approaches in distributed robotics and bio-inspired optimization.
Research Focus
Key Achievements
Top Papers
- 1Quadruped Robots: Bridging Mechanical Design, Control, and Applications23 citations · 2025
- 2
- 3Inverse Firefly-Based Search Algorithms for Multi-Target Search Problem3 citations · 2024
- 4A Lévy Walk and Firefly Based Multi-Robots Foraging Algorithm3 citations · 2019
- 5