Eko Ihsanto

About

Eko Ihsanto is a researcher in mobile robotics and intelligent control systems, with a focus on behavior-based architectures and fuzzy logic optimization. His most influential work, "Goal-seeking Behavior-based Mobile Robot Using Particle Swarm Fuzzy Controller" (2015, 23 citations), addresses a key challenge in robotics: the difficulty of manually tuning fuzzy logic parameters. By integrating particle swarm optimization, Ihsanto developed a method that automates this tuning, enabling robots to exhibit more efficient goal-seeking behaviors. This contribution has been foundational for researchers working on autonomous navigation and adaptive control. His subsequent studies extend this work, including optimizing circular robot dimensions for maneuverability (2017, 5 citations) and designing simulation tools for robotics education (2021, 4 citations). Ihsanto also explores practical applications, such as fire-fighting robots using IoT (2019, 3 citations) and hexapod navigation in maze environments with fuzzy Sugeno control (2020, 3 citations). His research bridges theoretical advances in fuzzy control with real-world robotic systems, making him a notable figure in the field of intelligent robotics and automation.

Research Focus

Key Achievements

Top Papers

1. 1
   Goal-seeking Behavior-based Mobile Robot Using Particle Swarm Fuzzy Controller

   23 citations · 2015
2. 2
   Optimization of Circular Robot Size Using Behavior Based Architecture

   5 citations · 2017
3. 3
   Design a Simulation Tools for Goal Seeking Behavior of a Mobile Robot

   4 citations · 2021
4. 4
   Robot Pemadam Kebakaran Berbasis Wemos

   3 citations · 2019
5. 5
   Rancang Bangun Sistem Navigasi Robot Hexapod 3 DOF di Ruangan Labirin Menggunakan Metode Fuzzy Sugeno Berbasis Arduino

   3 citations · 2020

Key Collaborators

Contact & Links