Mochamad Mobed Bachtiar

Universitas Negeri Surabaya, Politeknik Elektronika Negeri Surabaya

Papers

22

Total Citations

108

H-Index

5

About

Mochamad Mobed Bachtiar is a robotics researcher whose work centers on autonomous mobile robots, computer vision, and intelligent systems, with a particular focus on wheeled soccer robots competing in RoboCup and national Indonesian robot competitions. He is perhaps best known as a key contributor to the development of ERSOW (EEPIS Robot Soccer on Wheeled), a Middle Size League robot soccer platform built at Politeknik Elektronika Negeri Surabaya. His research spans the full spectrum of robot soccer intelligence, including ball detection using Local Binary Pattern techniques (16 citations), omnidirectional camera-based field feature recognition (22 citations), and precise shooting and kicking systems enhanced by fuzzy logic. Bachtiar has also made meaningful contributions to robot localization, introducing a radial search lines method for position estimation and heading calibration using field landmarks—addressing the persistent challenge of odometry drift. His work on dynamic obstacle avoidance, inter-robot communication, and long-distance passing reflects a systems-level understanding of multi-agent robotic coordination. With a cumulative citation count surpassing 80 across his most notable works, Bachtiar's research has become a meaningful reference point for engineers and students tackling real-world challenges in autonomous robot competition systems.

Research Focus

Key Achievements

5
H-Index
22
Papers
108
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Detecting Features of Middle Size Soccer Field using Omnidirectional Camera for Robot Soccer ERSOW
22 citations · 2020
📈 Most Prolific Year: 2020 (12 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Universitas Negeri Surabaya, Politeknik Elektronika Negeri Surabaya

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago