Sigit Yatmono

About

Sigit Yatmono is a robotics researcher whose work focuses on intelligent autonomous systems, particularly in mobile robot navigation and humanoid robotics. His most impactful contribution is in obstacle avoidance for mobile robots, where he developed a fuzzy logic controller (FLC) system using Matlab to enable robots to navigate complex environments autonomously—a paper that has garnered 36 citations. He also advanced domestic robotics with the development of an intelligent floor cleaning robot (23 citations), addressing real-world automation needs in homes and commercial spaces. More recently, Yatmono has ventured into computer vision for humanoid robotics, designing a ball detection system using YOLOv3 for soccer-playing humanoid robots, contributing to the growing field of robotic sports and competition platforms. His work bridges theoretical control systems with practical, application-driven robotics, making him a notable figure in Indonesian robotics research.

Research Focus

Key Achievements

Top Papers

1. 1
   The Mobile Robot Control in Obstacle Avoidance Using Fuzzy Logic Controller

   36 citations · 2020
2. 2
   Development of Intelligent Floor Cleaning Robot

   23 citations · 2019
3. 3
   Development of Ball Detection System with YOLOv3 in a Humanoid Soccer Robot

   3 citations · 2021

Key Collaborators

Contact & Links