Robust template matching with large angle localization

Yang, Yang; Zhuo, Chen; Liu, Yuanyuan; Guan, Weili; Zhong, Dexing; Xu, Mei

doi:10.1016/j.neucom.2019.05.105

Cited by 11 publications

(1 citation statement)

References 21 publications

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“…The objective can be expressed as finding a local range in the target image that contains features most similar to the instance-level template. Yang et al 14 achieved mutual enhancement of feature extraction and template localization by dynamically updating the corresponding feature pairs and rigid transformation parameters. Ignat and Pa˘va˘loi 15 proposed an iris recognition method based on SURF descriptors and texture features to improve the recognition rate.…”

Section: Related Workmentioning

confidence: 99%

HRC for dual-robot intelligent assembly system based on multimodal perception

Duan

Fang

Zhang

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part B:

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In the current intelligent manufacturing scenario, single-mode perception limits the accuracy and safety of the human-robot collaboration process, and cannot adapt to the assembly operation requirements of robots in complex industrial environments. To solve these problems, this paper proposes a Human-Robot Collaboration (HRC) framework for a dual-robot intelligent assembly system based on multimodal perception. This framework aims to provide multimodal information interaction for robot control through gesture perception, speech perception, human body perception, and visual perception. To verify the effectiveness of this framework, it was applied to the assembly scene of the integrally shrouded blade-rotor system. Experiments show that the multimodal perception dual-robot intelligent assembly system can better realize the HRC assembly of the integrally shrouded blade and improve the intelligence of the assembly process. It shows that the framework can promote robots to flexibly and accurately perceive information among people, robots, and objects to complete intelligent assembly. The multimodal information interaction effectively improves the operational robustness of the dual-robot intelligent assembly system in complex industrial environments and complex tasks.

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Section: Related Workmentioning

confidence: 99%