Papers
9
Total Citations
52
H-Index
5
About
Leonardo Romero has dedicated his career to advancing the field of indoor mobile robotics, with a particular focus on robust navigation, global localization, and sensor fusion. His most influential work tackles the fundamental challenge of determining a robot’s position under global uncertainty, as demonstrated in his 2001 paper on solving global localization while considering sensor perceptual limitations (11 citations). Romero’s contributions extend to practical hardware solutions, including the design of a differential mobile robot using DC brushless motors for precise position and velocity control, and the development of Paynal, a low-cost telepresence robot featuring 3D obstacle detection. His research also addresses critical perception issues, such as correcting radial distortion in wide-angle cameras for stereo vision systems (6 citations) and fusing laser range finders with stereo vision for 3D obstacle detection. By merging local and global navigation strategies and employing probabilistic grid-based mapping, Romero has created systems that are both theoretically sound and practically deployable. His work, spanning from 2000 to 2015, has earned him a reputation for bridging the gap between robust algorithms and affordable, real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2An hybrid approach to solve the global localization problem for indoor mobile robots considering sensor's perceptual limitations11 citations · 2001
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- 4
- 5Control of Position/Velocity in a Mobile Robot Using DC Brushless Motors5 citations · 2006
- 6
- 7Paynal, a low cost telepresence robot4 citations · 2015
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- 9