Taigo Maria Bonanni
Papers
5
Total Citations
121
H-Index
4
About
Taigo Maria Bonanni is a leading researcher in robotics, with a focus on autonomous exploration, 3D mapping, and human-robot collaboration. His most influential work, "3-D Map Merging on Pose Graphs" (2017, 51 citations), introduces a novel approach for merging three-dimensional maps represented as pose graphs of point clouds, effectively correcting distortions common in SLAM-generated maps—a critical contribution for large-scale and multi-robot mapping. Bonanni also advances human-robot interaction through his work on knowledge acquisition via multimodal communication (2012, 42 citations) and semantic environment labeling (2013, 13 citations), enabling robots to build deeper, context-aware understanding of their workspaces. Notably, his applied research includes the exploration and digital preservation of cultural heritage sites, such as mapping catacombs (2013, 12 citations) and archaeological sites (2016, 3 citations) with mobile robots, demonstrating the real-world impact of his algorithms in challenging, unstructured environments. Bonanni’s work bridges fundamental mapping techniques with practical, human-centered robotics, making him a key figure in advancing autonomous systems for both industrial and cultural heritage applications.
Research Focus
Key Achievements
Top Papers
- 13-D Map Merging on Pose Graphs51 citations · 2017
- 2Knowledge acquisition through human–robot multimodal interaction42 citations · 2012
- 3Human-Robot Collaboration for Semantic Labeling of the Environment13 citations · 2013
- 4Exploration and mapping of catacombs with mobile robots12 citations · 2013
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