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
Robust Robotic Pouring using Audition and Haptics
Hongzhuo Liang,Chuangchuang Zhou,Shuang Li,Xiaojian Ma,Norman Hendrich,Timo Gerkmann,Fuchun Sun,Marcus Stoffel,Jianwei Zhang +8 more
- 24 Oct 2020
TL;DR: In this paper, a multimodal pouring network (MP-Net) is proposed to predict liquid height by conditioning on both audition and haptics input, which is trained on a self-collected multi-modal pouring dataset.
3D scene reconstruction based on a moving 2D laser range finder for service-robots
Denis Klimentjew,Mehtap Arli,Jianwei Zhang +2 more
- 19 Dec 2009
TL;DR: This paper presents the simulation of a three-dimensional laser range finder based on a two- dimensional laser scanner and different moving units, which can be visualised with OpenGL or Java3D and used for surface reconstruction.
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Deployment Dynamics of Large Space Antenna and Supporting Arms
TL;DR: A large-scale deployable ring truss is introduced in this paper, which is equipped with a complete rope-driven driving method and supplements a cable net system in forming a complete space antenna.
Intention-Related Natural Language Grounding via Object Affordance Detection and Intention Semantic Extraction.
Jinpeng Mi,Hongzhuo Liang,Nikolaos Katsakis,Song Tang,Song Tang,Qingdu Li,Changshui Zhang,Jianwei Zhang +7 more
TL;DR: This work presents an attention-based multi-visual features fusion network to detect object affordances from RGB images, and introduces an intention semantic extraction module to extract intention semantics from intention-related natural language queries.
Divergent patterns of microbial community composition shift under two fertilization regimes revealed by responding species
TL;DR: It was inferred that a variation of the “MM” pattern can result in a more stable, harmonious and efficient ecosystem via maintenance of microbial diversity, stimulation of beneficial species, and exhibition of a more efficient microbial network.
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