Wissenschaftliche Mitarbeiterin


Foto von Hao Xing

M.Sc. Hao Xing

Informatik 6 - Professur für Informatik mit Schwerpunkt Telerobotik und Sensordatenfusion - (Prof. Burschka)

Room: HB 2.02.21

Address: Munich School of Robotics and Machine Intelligence,
Heßstr. 134, 80797 München

Institut für Informatik 6 Technische Universität München,
Parkring 13, 85748 Garching Hochbrück, Germany

Office Hours: By email

hao.xing@tum.de

Curriculum Vitae

Hao Xing is a research assistant in Munich School of Robotics and Machine Intelligence (MSRM) and PhD student in the Machine Vision and Perception Group under Prof. Dr.-Ing. Darius Burschka since 2019. He graduated with the Master of Science degree in Mechanical Engineering from the Technische Universität München, Germany, in 2019. He received the Bachelor of Engineering degree in Mechanical Engineering from Hefei University of Technology, Hefei, China.

In his new role, he is part of the Geriatronik project that focuses on the object detection, gesture labelling and visual navigation for service robotics.

Offered Thesis

  • Master Thesis: Indoor Fall Detection of Elderly Using RGB-D camera

      requirement: CNN basic knowledge, Python or C++ programming

  • Master Thesis: Human Motion Recognition based on Deep Learning

      requirement: CNN basic knowledge, Python or C++ programming

  • Bachelor/Semester Thesis: Background Segmentation of 3D Image for Real-Time Tacking

      requirement: Computer Vision basic knowledge, Python or C++ programming

  • Or if you are just interested in my research and wanna write a thesis in this area, please feel free to contact me.

 

Research Interests

  • Robot Vision
  • Visual Navigation
  • Object Detection
  • Motion Labelling
  • Scene Understanding
  • Machine Learning

Publications

Author(s): Zhou*, Mingchuan;Xing*, Hao;Eslami, Abouzar;Huang, Kai;Cai, Caixia;Lohmann, Chris P.;Navab, Nassir;Knoll, Alois;Nasseri, M. Ali
Title: 6DOF Needle Pose Estimation forRobot-assisted Vitreoretinal Surgery, accepted.
Book / Congress title: IEEE Access
Year: 2019]]>