Papers
14
Total Citations
221
H-Index
8
About
Hafez Farazi is a robotics researcher whose work sits at the intersection of humanoid robot platform development, computer vision, and autonomous robot behavior. He is best known for his contributions to the NimbRo humanoid robot series at the University of Bonn, including the child-sized igus Humanoid Open Platform (50 citations) and the adult-sized NimbRo-OP2X (40 citations) — open-source, 3D-printed platforms designed to democratize humanoid robotics research by lowering costs and accessibility barriers for institutions worldwide. These platforms have become valuable benchmarks in the field, particularly within RoboCup competitions, where Farazi's work contributed to championship victories in the Humanoid TeenSize and AdultSize categories in 2016 and 2017. Beyond hardware, Farazi has made significant strides in robot perception, developing deep LSTM-based systems for online visual tracking and identification of robots (23 citations), as well as monocular vision systems capable of operating under challenging, low-color environments. His more recent work extends into real-time multi-robot pose estimation from images. Collectively, his research addresses the full stack of humanoid robotics — from accessible physical platforms to the sophisticated perception systems that bring them to life.
Research Focus
Key Achievements
Top Papers
- 1Child-sized 3D printed igus humanoid open platform50 citations · 2015
- 2NimbRo-OP2X: Adult-Sized Open-Source 3D Printed Humanoid Robot40 citations · 2018
- 3Online visual robot tracking and identification using deep LSTM networks23 citations · 2017
- 4NimbRo-OP2: Grown-up 3D printed open humanoid platform for research23 citations · 2017
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- 8The igus Humanoid Open Platform8 citations · 2016
- 9
- 10Real-Time Pose Estimation from Images for Multiple Humanoid Robots7 citations · 2022