Ersin Aytac

About

Ersin Aytac is a leading researcher in the field of intelligent robotics, with a primary focus on autonomous navigation, decision-making, and control systems for mobile robots. His work is particularly influential in the specialized domain of robot soccer, where he has pioneered the integration of Behaviour Trees and Fuzzy Logic to create adaptive, real-time control architectures. Aytac’s major contributions include the design of a novel fuzzy control system for omnidirectional robots, which has garnered 45 citations, and a hybrid decision-making algorithm for soccer robots that combines Behaviour Trees with fuzzy obstacle avoidance, cited 32 times. He has also advanced path-finding in dynamic environments, proposing improvements to classic methods like A* and potential fields. His research demonstrates a consistent drive to enhance robot flexibility, running time, and on-line adaptation. Notably, Aytac’s work on holonomic robots and model-free ball interception algorithms further solidifies his reputation as a key innovator in enabling efficient, intelligent robot behavior in complex, real-world settings.

Research Focus

Key Achievements

Top Papers

1. 1
   Fuzzy control of omnidirectional robot

   45 citations · 2017
2. 2
   Robot Soccer Control Using Behaviour Trees and Fuzzy Logic

   32 citations · 2016
3. 3
   Navigation of mobile robot in dynamic environments

   13 citations · 2012
4. 4
   BEHAVIOUR TREE BASED CONTROL FOR EFFICIENT NAVIGATION OF HOLONOMIC ROBOTS

   12 citations · 2014
5. 5
   Control of soccer robots using behaviour trees

   9 citations · 2013
6. 6
   Improved Path-Finding Algorithm for Robot Soccers

   7 citations · 2015
7. 7
   A Model-Free Algorithm of Moving Ball Interception by Holonomic Robot Using Geometric Approach

   4 citations · 2019

Key Collaborators

Contact & Links