Papers
8
Total Citations
139
H-Index
5
About
Luan Silveira is a robotics researcher whose work sits at the intersection of autonomous navigation, bio-inspired computing, and underwater robotics, with a particular focus on Simultaneous Localization and Mapping (SLAM) in challenging three-dimensional environments. He is best known for developing DolphinSLAM, an open-source bio-inspired SLAM system that extends the landmark RatSLAM framework — originally designed for ground vehicles — into complex underwater settings by drawing on principles from mammalian brain navigation. Published in 2015, this work has garnered 63 citations and represents a significant step forward in making underwater autonomy both accessible and biologically grounded. His 2014 survey on underwater SLAM challenges and state-of-the-art solutions (49 citations) has become a valuable reference for researchers entering the field, comprehensively addressing the unique difficulties posed by GPS-denied, sensor-imprecise aquatic environments. Earlier contributions include foundational work on 3D robotic mapping, visual SLAM, and multi-robot path planning through his Space D* algorithm. His research on underground energy line inspection robots further demonstrates a broad commitment to real-world autonomous systems. Collectively, Silveira's body of work has meaningfully advanced bio-inspired approaches to robot navigation across diverse and demanding environments.
Research Focus
Key Achievements
Top Papers
- 1An Open-source Bio-inspired Solution to Underwater SLAM★63 citations · 2015
- 2
- 3Underwater Visual 3D SLAM Using a Bio-inspired System8 citations · 2013
- 43D robotic mapping: A biologic approach5 citations · 2013
- 5Autonomous navigation for underground energy line inspection robot5 citations · 2010
- 6Challenges and State-of-the-Art Solutions to Underwater Slam3 citations · 2014
- 7
- 8Space D*3 citations · 2012