Papers
3
Total Citations
19
H-Index
2
About
Olmer García is a robotics and autonomous systems researcher whose work centers on control, path planning, and localization for intelligent vehicles. His most influential contribution is the design and simulation of path tracking control for the robotic vehicle VILMA at UNICAMP, using Model Predictive Control (MPC) on a Fiat Punto platform—a project that has garnered 12 citations and laid foundational hardware-software integration for autonomous navigation. García further advanced autonomous mobility by developing local and global path generation methods using splines (5 citations), addressing cost barriers in vehicle automation. His technical breadth extends to high-performance computing for robotics, as demonstrated by his GPU implementation of a Sequential Monte Carlo technique for Ackerman robot localization (2 citations). As a key contributor to the Autonomous Mobility Laboratory at UNICAMP's Mechanical Engineering Faculty, García's work bridges practical vehicle platforms with cutting-edge control and perception algorithms, making him a notable figure in the push toward affordable, real-world autonomous driving systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Local and global path generation for autonomous vehicles using splines5 citations · 2015
- 3