Panos S. Shiokolas

Papers

Total Citations

H-Index

About

Panos S. Shiokolas is a researcher whose work lies at the intersection of intelligent control systems, robotics, and adaptive automation. His key contributions focus on designing robust controllers that maintain performance under challenging, real-world conditions—particularly when system resources, like battery power, are degrading. In his highly cited 2019 work, "Genetically Optimized ANFIS-based PID Controller Design for Posture-Stabilization of Self-Balancing-Robots under Depleting Battery Conditions," Shiokolas addresses a critical yet often overlooked problem: the progressive loss of control reliability as battery output drops. By integrating genetic algorithms with adaptive neuro-fuzzy inference systems (ANFIS), he developed a PID controller that dynamically adjusts its gains to preserve stability and posture in self-balancing robots, even as power fades. This work, with 6 citations, has been influential in advancing the reliability of autonomous mobile systems. Shiokolas’s research is particularly valuable for students and engineers working on energy-aware robotics, offering practical solutions that bridge the gap between theoretical control design and real-world hardware constraints. His achievements underscore a commitment to making intelligent systems more resilient and dependable.