Pedro V. Teixeira
Papers
1
Total Citations
46
H-Index
1
About
Pedro V. Teixeira is a leading researcher in robotics, with a primary focus on simultaneous localization and mapping (SLAM) and autonomous navigation in complex 3D environments. His most influential contribution is the development of the Virtual Occupancy Grid Map (VOG-map), a novel mapping framework that bridges the gap between pose graph SLAM and path planning. This approach, detailed in his highly cited 2018 paper (46 citations), constructs a globally deformable occupancy grid from local submaps, enabling robots to correct accumulated drift through loop closures while preserving critical free-space information for real-time navigation. By integrating mapping, localization, and planning into a cohesive system, Teixeira’s work has advanced the robustness and efficiency of autonomous exploration in unstructured, large-scale settings. His research is particularly impactful for applications in field robotics, where accurate long-term operation is essential. With a growing citation record and a focus on practical, deployable solutions, Teixeira continues to shape how robots perceive and move through the physical world, making his work essential reading for students and researchers in SLAM and autonomous systems.
Research Focus
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Top Papers
- 1