Israel Macias-Hidalgo
Papers
1
Total Citations
3
H-Index
1
About
Israel Macias-Hidalgo is a robotics and control systems researcher whose work focuses on the integration of mechanical, electrical, and software systems for autonomous platforms. His key research areas include self-balancing robotics, optimization algorithms, and PID controller tuning. Macias-Hidalgo’s major contribution lies in demonstrating how Particle Swarm Optimization (PSO) can be applied to enhance the disturbance rejection and stability of self-balancing robots—a classic control challenge. His most cited paper, “Self-Balancing Robot Control Optimization Using PSO” (2020, 3 citations), provides a practical framework for optimizing controller gains in real-world robotic testbeds, bridging the gap between theoretical optimization and hardware implementation. This work is notable for its hands-on approach to addressing unmodeled parameters and improving system robustness. While his citation count is still growing, Macias-Hidalgo’s research offers valuable insights for students and engineers interested in the intersection of evolutionary computation and mechatronic design, laying groundwork for more resilient autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Self-Balancing Robot Control Optimization Using PSO3 citations · 2020