Papers

5

Total Citations

162

H-Index

4

About

Guilherme V. Nardari is a robotics and autonomous systems researcher whose work spans aerial robotics, semantic simultaneous localization and mapping (SLAM), precision agriculture, and human-robot interaction. His most significant contribution, "Large-Scale Autonomous Flight With Real-Time Semantic SLAM Under Dense Forest Canopy" (2022), has garnered 97 citations and addresses one of robotics' most demanding challenges: enabling UAVs to navigate GPS-denied, unstructured environments using semantically meaningful object-based maps that are both storage-efficient and actionable at scale. This work has positioned him as a notable voice in field robotics and autonomous navigation. Complementing this, his research on micro-UAVs in precision agriculture (44 citations) highlights the unique advantages of aerial platforms over ground vehicles for fast, three-dimensional agricultural monitoring. Earlier in his career, Nardari explored the human side of robotics, investigating emotion recognition in human-robot interactions and how emotional embodiment affects user perception in domestic robot settings. He has also contributed to brain-computer interface research through work on error-related potential signal recognition. Together, his publications reflect a researcher who bridges cutting-edge autonomous systems with human-centered robotics, making meaningful contributions across both domains.

Research Focus

Key Achievements

4
H-Index
5
Papers
162
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Large-Scale Autonomous Flight With Real-Time Semantic SLAM Under Dense Forest Canopy
97 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Instituto Butantan, Universidade de São Paulo, Brazilian Society of Computational and Applied Mathematics

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago