Zobrazeno 1 - 10
of 1 622
pro vyhledávání: '"Zhao Chunhui"'
Autor:
Zhao Chunhui, Wan Xiaojin
Publikováno v:
Jixie chuandong, Vol 47, Pp 90-95 (2023)
In this study, a generalized gripper with multiple modes is designed so that it can grasp various sheet parts. The gripper lies in two sets of fingers and two sets of compact force transmission mechanisms. Firstly, a kinematic model of the hybrid spa
Externí odkaz:
https://doaj.org/article/b3f90a83063f49feb5d4c17e72b82a9e
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 41, Iss 2, Pp 389-399 (2023)
Considering the obstacle avoidance and collision avoidance for multi-agent cooperative formation in multi-obstacle environment, a formation control algorithm based on transfer learning and reinforcement learning is proposed. Firstly, in the source ta
Externí odkaz:
https://doaj.org/article/36f05d3807694495b7e62e75b98994b5
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 40, Iss 6, Pp 1288-1296 (2022)
Aiming at the problem of autonomous obstacle avoidance of fixed-wing UAVs in a complex, dense and multi-obstacle environment, a path planning algorithm for fixed-wing UAVs based on a safe flight corridor is proposed. The difficulty of avoiding dense
Externí odkaz:
https://doaj.org/article/48fcd9d2c2fe415daf3f3e91ed652ea0
Generalized zero-shot learning (GZSL) focuses on recognizing seen and unseen classes against domain shift problem (DSP) where data of unseen classes may be misclassified as seen classes. However, existing GZSL is still limited to seen domains. In the
Externí odkaz:
http://arxiv.org/abs/2403.14362
Zero-shot fault diagnosis (ZSFD) is capable of identifying unseen faults via predicting fault attributes labeled by human experts. We first recognize the demand of ZSFD to deal with continuous changes in industrial processes, i.e., the model's abilit
Externí odkaz:
http://arxiv.org/abs/2403.13845
Simultaneous Localization and Mapping (SLAM) plays an important role in robot autonomy. Reliability and efficiency are the two most valued features for applying SLAM in robot applications. In this paper, we consider achieving a reliable LiDAR-based S
Externí odkaz:
http://arxiv.org/abs/2310.04162
Autor:
Zhang, Songchun, Zhao, Chunhui
Weakly supervised temporal action localization (WSTAL) aims to localize actions in untrimmed videos using video-level labels. Despite recent advances, existing approaches mainly follow a localization-by-classification pipeline, generally processing e
Externí odkaz:
http://arxiv.org/abs/2308.12609
Fault diagnosis is a critical aspect of industrial safety, and supervised industrial fault diagnosis has been extensively researched. However, obtaining fault samples of all categories for model training can be challenging due to cost and safety conc
Externí odkaz:
http://arxiv.org/abs/2306.02359
Autor:
Abdelmeguid, Mohamed, Zhao, Chunhui, Yalcinkaya, Esref, Gazetas, George, Elbanna, Ahmed, Rosakis, Ares
Publikováno v:
Commun Earth Environ 4, 456 (2023)
The 2023 M7.8 Kahramanmara\c{s}/Pazarcik earthquake was larger and more destructive than what had been expected. Here we analyzed near-field seismic records and developed a dynamic rupture model that reconciles different currently conflicting inversi
Externí odkaz:
http://arxiv.org/abs/2305.01825
Embedding-aware generative model (EAGM) addresses the data insufficiency problem for zero-shot learning (ZSL) by constructing a generator between semantic and visual feature spaces. Thanks to the predefined benchmark and protocols, the number of prop
Externí odkaz:
http://arxiv.org/abs/2302.04060