About

Gustavo Pessin is a prominent robotics researcher whose work spans autonomous navigation, multi-robot systems, and robotic inspection in challenging environments. Based at Brazilian research institutions, Pessin has made significant contributions to the fields of LiDAR-based simultaneous localization and mapping (SLAM), swarm robotics, and the deployment of robotic systems in confined and subterranean spaces. His most impactful contributions include the development of EKF-LOAM, an adaptive sensor fusion framework that dramatically improves localization accuracy in feature-sparse environments (107 citations), and a comprehensive survey on swarm robotics that has become a key reference for researchers entering the field (105 citations). His long-running work on the CaRINA intelligent robotic car established foundational architectures for autonomous vehicle research in Brazil (100 citations), while his EspeleoRobô platform has driven advances in underground exploration and inspection robotics. Pessin's research consistently bridges theoretical innovation with real-world deployment, evidenced by industrial inspection systems like ROSI and communication-aware multi-robot coordination frameworks. With multiple highly cited papers published across a decade, his body of work has shaped how robots perceive, navigate, and collaborate in some of the world's most demanding environments.

Research Focus

Key Achievements

13
H-Index
48
Papers
798
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
EKF-LOAM: An Adaptive Fusion of LiDAR SLAM With Wheel Odometry and Inertial Data for Confined Spaces With Few Geometric Features
107 citations · 2022
📈 Most Prolific Year: 2022 (6 Papers)
🤝 Key Collaborators: 138
🏛 Institutions: Vale (Brazil), Universidade Federal de Ouro Preto, Universidade de São Paulo, Vale Technological Institute, Heriot-Watt University, Hospital Universitário da Universidade de São Paulo

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago