Zakaria Chalh

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About

Zakaria Chalh is a researcher whose work lies at the intersection of robotics, control systems, and bio-inspired computation. His primary research areas include visual servoing, robot kinematics, and the application of metaheuristic algorithms to solve complex control problems. Chalh has made notable contributions by introducing novel methods to overcome the singularity problem in planar robot control, as demonstrated in his 2023 paper on visual servoing of a 3R robot using metaheuristic algorithms—a work that has already garnered 3 citations. He has also advanced the field of dynamic balancing, developing a fuzzy logic control system for a two-armed inverted pendulum, which addresses the stability challenges of unicycle robots. His 2024 overview of bio-inspired algorithms in robotics systems further underscores his role in synthesizing and advancing nature-inspired approaches for robotic applications. With additional work on sine cosine algorithms for joint position control of a four-degree-of-freedom robot, Chalh is building a focused portfolio that bridges theoretical optimization with practical robotic control. His research offers valuable insights for students and engineers seeking efficient, intelligent solutions to real-world robotic challenges.