Antonino Bongiovanni
Papers
2
Total Citations
16
H-Index
2
About
Antonino Bongiovanni is a researcher at the forefront of human-robot interaction and underwater multi-robot systems. His work bridges the gap between intuitive collaboration and autonomous sensing, with a focus on making robots more responsive to human gestures and touchscreen commands. In his 2023 comparative study on gestural and touchscreen interaction for human-robot collaboration, Bongiovanni provides critical insights into how operators can naturally communicate with robotic teammates, a key step toward seamless human-robot teamwork in industrial and service settings. Beyond the surface, Bongiovanni is a driving force in underwater robotics. He is a key contributor to the DAMPS project, which tackles the challenging problem of localizing underwater acoustic sources using a collaborative multi-robot system. His 2021 paper on this work, with 11 citations, details how a team of robots fuses local acoustic data to track noise sources—a breakthrough with applications in marine surveillance, environmental monitoring, and defense. By enabling robots to work together autonomously in GPS-denied environments, Bongiovanni is pushing the boundaries of what multi-agent systems can achieve. His research, though early in its citation impact, is already shaping the future of human-robot collaboration and autonomous underwater exploration.
Research Focus
Key Achievements
Top Papers
- 1
- 2