Renan Vicente Pinto
Papers
1
Total Citations
2
H-Index
1
About
Renan Vicente Pinto is a researcher in autonomous robotics, with a focused expertise in path planning and predictive control for car-like robots. His most notable contribution is the development and deployment of a smooth clothoid-based path planning algorithm integrated with predictive control, enabling more natural and efficient autonomous navigation. This work, published in 2019, has garnered 2 citations, reflecting its niche yet foundational impact on the field of mobile robotics. Pinto’s approach addresses critical challenges in trajectory smoothness and real-time control, advancing the practicality of autonomous vehicles in constrained environments. His research bridges theoretical control methods with real-world deployment, offering a robust framework for future studies in autonomous navigation. Pinto’s work is particularly valuable for students and researchers exploring non-holonomic motion planning and model predictive control, as it provides a clear, implementable solution for car-like robots. His contributions underscore the importance of blending geometric path planning with dynamic control to achieve reliable autonomy.
Research Focus
Key Achievements
Top Papers
- 1