Didar Yedilkhan

Astana Medical University, Institute of Information and Computational Technologies

Papers

Total Citations

H-Index

About

Didar Yedilkhan is a rising researcher in robotics and intelligent systems, whose work focuses on autonomous coordination and human-robot interaction. Their key research areas include swarm robotics, formation control, and gesture recognition systems. In their most cited paper, "Intelligent Coordination for a Swarm of Autonomous Mobile Robots" (2024, 4 citations), Yedilkhan introduces a novel algorithm that integrates behavioral approaches with fuzzy logic to dynamically calculate behavior weights, enabling efficient, adaptive coordination within a leader-follower framework. This work addresses critical challenges in swarm navigation and formation control, offering a scalable solution for autonomous multi-robot systems. Yedilkhan’s second notable contribution, "Development of a Verbal Robot Hand Gesture Recognition System" (2021, 3 citations), explores sign language correlation and presents a system tailored for the Kazakh language, incorporating a touch sensor that detects electrical contact properties. This research bridges cultural and technological gaps in human-robot communication. With a growing citation record and innovative approaches to both swarm intelligence and gesture-based interfaces, Yedilkhan is establishing a foundation for impactful work in adaptive robotics and inclusive human-machine systems.