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Zetao Chen

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Contact Details

Zetao Chen | PhD Candidate Research Fellow | School of Electronic Engineering and Computer Science
Faculty of Built Environment and Engineering | Queensland University of Technology
|Gardens Point, S Block 1107 | 2 George Street, Brisbane, QLD 4000
phone: + 61 4 78891008 | email:



Research Interest:

Robot Localization; Biologically-inspired Robotics; Machine Learning

Working Experience:

11/2016 - present Research fellow in ETH Zurich working in robot localization and SLAM.

05/2016 - 09/2016  Postdoc Fellow in QUT


Guest lecturer in the course "Autonomous Mobile Robots" at ETH, Zurich


11/2012 – now  PhD Candidate in Robotics 05/2016  PhD Candidate in Robotics  PhD thesis: Biologically-inspired Place Recognition with Neural Networks

Queensland University of Technology  

09/2010 - 09/2012:     Research Master    Master with distinction In Artificial Intelligence  ( HSP Huygens Scholarship receipt 173 out of 2300)

University of Groningen (Netherlands)    

Thesis Topic: Supervised Feature Selection Based on Generalized Matrix Learning Vector Quantization (

09/2005 - 07/2009:     Bachelor with honours in Information Engineering  

South China University of Technology            

Research Topic

Brain-Based Sensor Fusion for Navigating Robots


Principle Principal Supervisor: Dr. Michael Milford.
Associate Supervisor: Prof. Gordon Wyeth.

Associate Supervisor: Prof. Peter Corke . 


Complete Publication Lists


 Adam Jacobson, Zetao Chen and Michael Milford, “Autonomous Multi-Sensor Calibration and Closed Loop Fusion for SLAM”, (Second revision,under reviewaccepted) Journal of Field Robotics (JFR).

Zetao Chen, Stephanie Lowry, Adam Jacobson, Michael E. Hasselmo and Michael Milford, "Bio-inspired Homogenous Multi-scale Place Recognition", International Journal of Neural Network, 2015

Chen Fan, Zetao Chen, Adam Jacobson, Xiaoping Hu, Michael Milford, "Biologically-inspired visual place recognition with adaptive multiple scales", Robotics and Autonomous Systems (RAS), 2017

Conference Paper

 Xutao Li, Zetao Chen, Shouyong Wang, “An Approximate Representation of Heavy-tailed Noise: Bi-parameter Cauchy-Gaussian Mixture Model”, in 9th International Conference on Signal Processing, 2008.


 Zetao Chen, Lian-wen Jin, Xu-tao Li, Yi-li Chen, Chu-jia Huang,Zhen-hua Feng, “Facial Feature Contour Extraction Using Improved SnakeModel” (Chinese Paper) , in the 2009 International Forum on Information Technology and Application.


Zetao Chen, Adam Jacobson, Ugur M. Erdem, Michael E. Hasselmo and Michael Milford, “Bio-inspired Place Recognition over Multiple Spatial Scales ”, (Accepted), Australia Conference on Robotics and Automation, 2013 (Best Paper Award).

 Zetao Chen, Adam Jacobson, Ugur M. Erdem, Michael E. Hasselmo, and Michael Milford, “Multi-scale Bio-inspired Place Recognition”, (under reviewAccepted) International Conference on Robotics and Automation (ICRA), 2014. 

Zetao Chen, Obadiah Lam, Adam Jacobson, Michael Milford. "Convolutional Neural Network-based Place Recognition",Australia Conference on Robotics and Automation, 2014 (Best Paper Finalist)

Zetao Chen, Stephanie Lowry, Adam Jacobson, Zongyuan Ge and Michael Milford. " Distance Metric Learning for Feature-Agnostic Place Recognition", 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), hamburg. 

Adam Jacobson, Zetao Chen, Michael Milford, "Online Place Recognition Calibration for Out-of-The-Box SLAM", 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), hamburg.

Zetao Chen, Adam Jacobson, Niko Sünderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian Reid, Michael Milford, " Deep Learning Features at Scale for Visual Place Recognition", International Conference on Robotics and Automation (ICRA), data and code, 2017.

Zetao Chen, Fabiola Maffra, Inkyu Sa, Margarita Chli, "Only Look Once, Mining Distinctive Landmarks from ConvNet for Visual Place Recognition", 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)

ZongYuan Ge, Sergey Demyanov, Zetao Chen, Rahil Garnavi, "Generative OpenMax for Multi-Class Open Set Classification", British Machine Vision Conference (BMVC), 2017


A video based method for facial beauty assessmentassess


A full CV is here: Resume_ZetaoChen.pdf