Zhou Teng

     ABB US Corporate Research Center

     Email:  tengzhou2011@gmail.com

Short Bio

I am currently a Research Scientist at  ABB US Corporate Research Center. I received my Ph.D. in Computer Science from UNC Charlotte in 2016, M.S. in Computer Science from Fudan University, Shanghai, China in 2011 and B.E. in Software Engineering from Nanjing University of Science and Technology, Nanjing, China in 2008.

Research Interest

• 3D Object Detection and Pose Estimation
• 3D Object Modeling
• Robotic Perception and Manipulation



• Jinglin Li, Zhou Teng and Jing Xiao, "Can a continuum manipulator fetch an object in an unknown cluttered space?", IEEE Robotics and Automation Letters, Volume 2, Issue 1, Pages 2–9, Jan. 2017.
• Zhou Teng and Jing Xiao,  “Surface-based Detection and 6DoF Pose Estimation of 3D Objects in Cluttered Scenes", IEEE Transactions on Robotics (T-RO), Volume 32, Issue 6, Pages 1347-1361, Dec. 2016. (URL).


•  Huitan Mao, Zhou Teng, and Jing Xiao, “Progressive Object Modeling with a Continuum Manipulator in Unknown Environments”, in IEEE International Conference on Robotics and Automation (ICRA), Singapore, 2017. 
• Zhou Teng, Huitan Mao, and Jing Xiao, "Automatic Object Modeling through Integrating Perception and Robotic Manipulation", in International Symposium on Experimental Robotics (ISER), Tokyo, Japan, October 2016.
• Zhou Teng and Jing Xiao, “A Learning-based Approach for Evaluating Scene Recognizability of a View”, in IEEE International Conference on Robotics and Automation (ICRA), Seattle, Washington, USA, 2015. 
• Zhou Teng and Jing Xiao, “Surface-based General 3D Object Detection and Pose Estimation”, in IEEE International Conference on Robotics and Automation (ICRA), Pages 5473-5479, Hongkong, China, 2014.
• Zhou Teng and Jing Xiao, “3D Object Detection based on Geometric Segmentation”, in 10th Conference on Computer and Robot Vision (CRV), Pages 67-74, Regina, Saskatchewan, Canada, May 28-31, 2013.
• Jinglin Li, Zhou Teng, Jing Xiao, Apoorva Kapadia, Alan Bartow and Ian Walker, “Autonomous Continuum Grasping”, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Pages 4569-4576, Tokyo, Japan, November 2013.
• Yue-Fei Guo, Xiaodong Lin, Zhou Teng, Xiangyang Xue and Jianping Fan, “A Covariance-free Iterative Algorithm for Distributed Principal Component Analysis on Vertically Partitioned Data”, Pattern Recognition, Volume 45, Issue 3, Pages 1211-1219, 2012.

Honors & Awards

• US National Science Foundation Student Travel Award, ICRA 2015 & ICRA 2014
National Scholarship, Ministry of Education of the People's Republic of China, November 2007
• National Outstanding Student Award, Ministry of Education of the People's Republic of China, August 2007