Tomas Andres Olvera Hale
Papers
1
Total Citations
4
H-Index
1
About
Tomas Andres Olvera Hale is a robotics researcher whose work centers on autonomous navigation and perception for mobile service robots. His primary contributions lie in developing robust mapping and localization systems that enable robots to operate effectively in unknown, unstructured environments. His most cited paper, "Mapping and navigation in an unknown environment using LiDAR for mobile service robots" (2020), presents a complete pipeline integrating 3D LiDAR-based occupancy grid mapping with global localization and path planning algorithms. This work demonstrates practical solutions for real-world deployment, addressing key challenges in sensor fusion and real-time navigation. While his citation count is still growing, his research has foundational value for engineers and students working on autonomous ground vehicles, particularly in service robotics contexts. Olvera Hale’s approach emphasizes the integration of off-the-shelf sensors with efficient algorithmic implementations, making his work accessible for applied robotics projects. His achievements include advancing the state of the art in LiDAR-based environmental perception for mobile platforms, contributing to the broader goal of creating reliable, autonomous service robots for dynamic human environments.
Research Focus
Key Achievements
Top Papers
- 1