J. Humberto Pérez-Cruz · Researcher · Max Robotics

About

J. Humberto Pérez-Cruz is a leading researcher in nonlinear dynamics, chaos theory, and advanced control systems for robotics. His work bridges theoretical analysis with practical implementation, particularly in the stabilization and navigation of complex robotic platforms. His most cited paper, "Analysis of a new chaotic system, electronic realization and use in navigation of differential drive mobile robot" (2021, 45 citations), demonstrates his signature approach: discovering novel chaotic dynamics, building electronic circuits to realize them, and then harnessing that chaos for real-world robot navigation. This work is complemented by his earlier foundational contribution, "Stable optimal control applied to a cylindrical robotic arm" (2012, 29 citations), which established robust control strategies for industrial manipulators. More recently, Pérez-Cruz has tackled the challenge of robust design under uncertainty. His 2023 paper introduces an evolutionary multiobjective approach for balancing shaking forces and moments in robotic manipulators without relying on probability distributions—a practical solution for unpredictable environments. He has also solved the demanding stabilization problem of a three-link inverted pendulum mobile robot (2020), using direct current motors with integrated tachometer couplings for precise state measurement. Through these contributions, Pérez-Cruz continues to advance the frontier where chaotic dynamics meet robust, real-world robotic control.