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- Peking UniversityCN105 papers
- Beijing Institute of TechnologyCN12 papers
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- Peng Cheng LaboratoryCN6 papers
- University of CambridgeGB5 papers
- University of MariborSI5 papers
- Chinese Academy of SciencesCN4 papers
- Beihang UniversityCN3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
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- Massachusetts Institute of TechnologyUS3 papers
7 papers · 1 filter
Generative prediction of flow fields around an obstacle using the diffusion model
Jiajun Hu, Zhen Lu, Yue Yang
We propose a geometry-to-flow diffusion model that utilizes obstacle shape as input to predict a flow field around an obstacle. The model is based on a learnable Markov transition…
Self-diffusiophoretic propulsion of a spheroidal particle in a shear-thinning fluid
Guangpu Zhu, Brandon van Gogh, Lailai Zhu +2
Shear-thinning viscosity is a non-Newtonian behaviour that active particles often encounter in biological fluids such as blood and mucus. The fundamental question of how this ubiqu…
EF-Calib: Spatiotemporal Calibration of Event- and Frame-Based Cameras Using Continuous-Time Trajectories
Shaoan Wang, Zhanhua Xin, Yaoqing Hu +3
Event camera, a bio-inspired asynchronous triggered camera, offers promising prospects for fusion with frame-based cameras owing to its low latency and high dynamic range. However,…
Adaptive Integral Sliding Mode Control for Attitude Tracking of Underwater Robots With Large Range Pitch Variations in Confined Space
Xiaorui Wang, Zeyu Sha, Feitian Zhang
Underwater robots play a crucial role in exploring aquatic environments. The ability to flexibly adjust their attitudes is essential for underwater robots to effectively accomplish…
Data-Driven Dynamics Modeling of Miniature Robotic Blimps Using Neural ODEs With Parameter Auto-Tuning
Yongjian Zhu, Hao Cheng, Feitian Zhang
Miniature robotic blimps, as one type of lighter-than-air aerial vehicles, have attracted increasing attention in the science and engineering community for their enhanced safety, e…
TDANet: Target-Directed Attention Network For Object-Goal Visual Navigation With Zero-Shot Ability
Shiwei Lian, Feitian Zhang
The generalization of the end-to-end deep reinforcement learning (DRL) for object-goal visual navigation is a long-standing challenge since object classes and placements vary in ne…