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About

Zbigniew Kulesza is a leading researcher in robotics and mechatronics, with a primary focus on mobile robot trajectory optimization and multi-objective scheduling. His most impactful work introduces the Grey Wolf Optimization (GWO) algorithm as a meta-heuristic solution for complex robotic control problems. In his highly cited 2022 paper, "Multi-objective scheduling of a single mobile robot based on the grey wolf optimization algorithm" (40 citations), Kulesza pioneered a novel approach to balancing competing scheduling objectives in autonomous navigation. He further advanced this methodology in "GWO-Based Multi-Stage Algorithm for PMDC Motor Parameter Estimation" (12 citations), where he addressed the critical challenge of precisely tuning motor controllers for wheeled mobile robots—a practical problem encountered during robot design. Kulesza also explored trajectory optimization through learning from demonstration, integrating GWO with human-guided training data. His contributions extend to editing the comprehensive volume "Mechatronic Systems and Materials IV," which covers robotics, UAVs, and teleoperation. With a growing citation record and a focus on biologically inspired algorithms for real-world robotic systems, Kulesza’s work is essential reading for researchers seeking efficient, multi-objective solutions in autonomous navigation and mechatronic system design.