Papers
6
Total Citations
53
H-Index
3
About
Alessandro Bucci is a leading researcher in underwater robotics, specializing in autonomous navigation, perception, and manipulation for Autonomous Underwater Vehicles (AUVs). His work centers on enabling AUVs to operate intelligently in GPS-denied environments, with major contributions in deep learning-based automatic target recognition for optical and acoustic imagery (29 citations) and pose-graph simultaneous localization and mapping (SLAM) for 3D reconstruction (13 citations). Bucci has advanced sensor fusion techniques, developing a covariance and gain-based federated Unscented Kalman Filter for acoustic-visual-inertial navigation (5 citations), which enhances localization robustness. He also contributed to the SUONO Project, focusing on advanced underwater manipulation systems for subsea intervention tasks. Notably, Bucci led the UNIFI Robotics Team’s participation in the RAMI 2023 competition with the FeelHippo AUV, demonstrating real-world performance of these technologies. Beyond underwater systems, his work extends to robot-augmented rehabilitation, including a kinaesthetic hand exoskeleton for Health 4.0 therapies. With a growing citation record and hands-on competition experience, Bucci’s research bridges theoretical advances and practical deployment, pushing the boundaries of autonomous underwater operations and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 5RAMI 2023: The Experience of the UNIFI Robotics Team with FeelHippo AUV2 citations · 2024
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