Jianwei Zhang
University of Hamburg
756 Papers
2.6K Citations
Jianwei Zhang is an academic researcher from University of Hamburg. The author has contributed to research in topics: Computer science & Robot. The author has an hindex of 39, co-authored 607 publications. Previous affiliations of Jianwei Zhang include Bielefeld University & Tsinghua University.
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Papers
•Posted Content
Occlusion Resistant Object Rotation Regression from Point Cloud Segments
TL;DR: This work proposes to directly regress a pose vector from point cloud segments using a convolutional neural network, which achieves competitive performance compared to a state-of-the-art method, while also showing more robustness against occlusion.
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Robot Topological Map Generation from Formal Route Instructions
TL;DR: A topological map is built that represents the route’s motion actions and spatial relationships graphically to plan robot's navigation task and also to avoid ambiguity.
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Appearance-based visual learning in a neuro-fuzzy model for fine-positioning of manipulators
Jianwei Zhang,R. Schmidt,Alois Knoll +2 more
- 10 May 1999
TL;DR: This paper uses principal component analysis to reduce the dimension of raw camera images to lower-dimension vectors that can be used as inputs of the authors' neuro-fuzzy controllers, and shows that this approach leads to a very robust system that is stable under variable environment conditions.
Pneumatic Climbing Robots for Glass Wall Cleaning
Houxiang Zhang,Houxiang Zhang,Jianwei Zhang,Jianwei Zhang,Rong Liu,Rong Liu,Wei Wang,Wei Wang,Guanghua Zong,Guanghua Zong +9 more
- 01 Jan 2005
TL;DR: The individual robots’ mechanical constructions and unique aspects are introduced in detail and four different principles of adhesion are used by climbing robots.
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Robust real-time landmark recognition for humanoid robot navigation
Mohammed Elmogy,Jianwei Zhang +1 more
- 22 Feb 2009
TL;DR: The goal of the work is to develop a rapid, robust object recognition system with a high detection rate that can actually be used by a humanoid robot to recognize landmarks during its navigation.
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