Papers
5
Total Citations
30
H-Index
3
About
Luciano Bonzatto is a rising researcher in autonomous robotics and multi-robot systems, with a focus on integrating unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) for complex missions. His major contributions include pioneering a UAV-assisted path planning framework for UGVs in unknown environments, enabling advanced reconnaissance and mission execution without prior maps. This work, published in 2024, has already garnered 13 citations, highlighting its immediate impact. Bonzatto also explores practical applications of UAVs in agriculture, developing a YOLO-based insect detection system for small multirotor drones, which has received 8 citations. His comparative studies on PID controller architectures for UAV-UGV coordination and energy efficiency analyses of differential versus omnidirectional robotic platforms demonstrate a systematic approach to optimizing autonomous systems. Additionally, he contributed to the design of an omnidirectional Mecanum platform for the RobotAtFactory 4.0 competition. With all key papers published in 2024, Bonzatto’s work is rapidly shaping the fields of cooperative robotics, precision agriculture, and energy-aware robotic design.
Research Focus
Key Achievements
Top Papers
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