Irsyadi Yani

About

Irsyadi Yani is an accomplished robotics and computational intelligence researcher whose work sits at the intersection of swarm robotics, fuzzy logic control, and autonomous navigation. With a body of research that has accumulated nearly 100 citations, Yani has made meaningful contributions to how multi-robot systems coordinate, navigate, and make intelligent decisions in uncertain environments. Yani's most influential work focuses on applying fuzzy logic — both Type-1 and Interval Type-2 — to critical challenges in mobile and swarm robotics, including obstacle avoidance, formation control, and target tracking. His 2019 papers on swarm robot coordination and fuzzy logic-based navigation (29 combined citations) demonstrate a sustained commitment to making robot collectives smarter and more adaptive. Equally notable is his research into odor localization and classification, where he combined gas sensor arrays with machine learning techniques like Support Vector Machines to enable robots to detect and track odor sources — work with compelling applications in search-and-rescue and environmental monitoring. Through practical, hardware-grounded experiments using real robotic platforms, Yani bridges theoretical algorithm design with real-world deployment, making his findings particularly valuable for students and engineers working on autonomous systems. His research trajectory reflects a researcher deeply invested in intelligent, cooperative robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Analysis on swarm robot coordination using fuzzy logic

   16 citations · 2019
2. 2
   Target tracking in mobile robot under uncertain environment using fuzzy logic controller

   15 citations · 2017
3. 3
   Application of Type-1 and Type-2 Fuzzy Logic Controller for The Real Swarm Robot

   13 citations · 2019
4. 4
   Odor classification using Support Vector Machine

   12 citations · 2017
5. 5
   Formation control design for real swarm robot using fuzzy logic

   11 citations · 2017
6. 6
   Cooperative searching strategy for swarm robot

   8 citations · 2017
7. 7
   Odor localization using gas sensor for mobile robot

   6 citations · 2017
8. 8
   Different Types of Fuzzy Logic in Obstacles Avoidance of Mobile Robot

   6 citations · 2018
9. 9
   Target Tracking in Mobile Robot under Uncertain Environment using Fuzzy Logic Controller

   6 citations · 2017
10. 10
    Odor Localization using Gas Sensor for Mobile Robot

    5 citations · 2017

Key Collaborators

Contact & Links