Jefferson Campos
Papers
1
Total Citations
24
H-Index
1
About
Jefferson Campos is a researcher whose work sits at the intersection of computational intelligence and robotics, with a particular focus on optimizing control systems for autonomous mobile robots. His most cited paper, "PSO Tuning for Fuzzy PD + I Controller Applied to a Mobile Robot Trajectory Control" (2018, 24 citations), demonstrates a novel approach to trajectory control by combining fuzzy logic with a proportional-derivative-plus-integral (PD+I) controller. The key innovation lies in using Particle Swarm Optimization (PSO) to automatically tune the controller parameters, minimizing an objective function to achieve superior performance. This work has been influential in advancing the field of intelligent control, offering a practical method for enhancing robot navigation and precision. Campos’s research is notable for bridging theoretical optimization algorithms with real-world robotic applications, making his contributions valuable for both academics and engineers working on autonomous systems. His work continues to inspire further studies in adaptive control and swarm intelligence.
Research Focus
Key Achievements
Top Papers
- 1