Kanzhi Wu [吴侃之]

Centre for Autonomous Systems University of Technology, Sydney CB11.09.300, 81 Broadway Ultimo, NSW, Australia, 2007 Email: kanzhi.wu@student.uts.edu.au; kanzhi.wu@gmail.com

Research Interests


  • Object recognition and pose estimation for robotic perception, especially under cluttered scenario.

  • Active path planning for Next-Best-View in object recognition.

  • RGB-D descriptor for less-textured/un-textured object recognition.

  • Object 3D modeling using SLAM(SfM).

Education


Zhejiang University, Hangzhou, Sep. 2014 - Dec. 2014 Visiting Student Topic: RGB-D Descriptor for Object Recognition Advisor: A/Prof. Yong Liu

University of Technology, Sydney, Sydney, 2013 - 2016 Ph.D. in Robotics Dissertation: Action for Perception: Object Recognition in Cluttered Envrionment Advisor: Prof. Gamini Dissanayake

Northwestern Polytechnical University, Xi’an, 2010 - 2012 Master in School of Astronautics Thesis: SLAM based Pose Estimation for Non-Cooperative Spacecrafts Advisor: Prof. Xiaokui Yue

Northwestern Polytechnical University, Xi’an, 2009 - 2010 Bachlor in School of Astronautics Thesis: Binocular Vision based Localization and Pose Estimation for On-Orbit Vehicles Advisor: Prof. Xiaokui Yue

Northwestern Polytechnical University, Xi’an, 2006 - 2009 Honors College, a.k.a. School of Educational Experimental

Professional Memberships and Activities


  • IEEE student member (2014 - present)

  • Reviewer: IROS 2014, ICRA 2014/2015, Journal of Intelligent and Robotic Systems

Honors and Awards


  • Best Poster Presentation in FEIT Research Showcase 2015

    Presentation

  • Travel Award for ICARCV 2014 and ICRA 2015

  • International Research Scholarship, University of Technology, Sydney. 2013 – 2016

  • Top-Up Scholarship for High Degree Research Student. 2014 – 2015

Programming Skills


  • OS Platform:
    • Linux(Ubuntu, Redhat), Unix
    • Windows
  • Programming:
    • C/C++: OpenCV, Point Cloud Library, Eigen, Armardillo, Boost and ROS
    • Python: numpy, scipy and scikit-learn
    • Matlab
    • lua: torch
  • Version control: svn, git

  • Open source projects: TBA

Teaching Experience


Advanced Robotics, 2013 - 2015 University of Technology, Sydney, Faculty of Engineering and Information Technology

  • Developing software for the implementation of localization, mapping and path planning algorithms using ROS.

  • Providing support services for group projects in Advanced Robotics.

  • Providing assistance to undergraduate and postgraduate students to ensure that best method of software development is employed.

Publications


Please visit my publication list.



Download PDF Version