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Research on reliable path planning of manipulator based on artificial beacons

conference contribution
posted on 2024-11-07, 00:58 authored by Jia Song, Kai Zhao, Huiyan Weng, Xu WangXu Wang, Yang Liu
In order to solve the problem that manipulators can only move in a fixed trajectory in common industrial production at present, we propose a monocular visual positioning method based on artificial beacons, combining visual position technology with the movement of manipulators to complete the reliable path planning of manipulators. When it comes to practicability, the traditional point pair-matching method is equipped with robust factors, to increase the reliability. We adopt a linear predict algorithm and ROI (region of interest) in the solving of PnP (Perspective-n-Point) to ensure the real-time performance and improve the robustness. Finally, the reliability is verified by experiments, which provides theoretical basis and practical reference for the path planning of manipulator based on artificial beacons.<p></p>

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    ISBN - Is published in 9781728130255 (urn:isbn:9781728130255)

Number

8890493

Start page

727

End page

732

Total pages

6

Outlet

Proceedings of the 17th International Conference on Dependable, Autonomic and Secure Computing, IEEE 17th International Conference on Pervasive Intelligence and Computing,

Name of conference

DASC-PiCom-CBDCom-CyberSciTech 2019

Publisher

IEEE

Place published

United States

Start date

2019-08-05

End date

2019-08-08

Language

English

Copyright

© 2019 IEEE.

Notes

IEEE 5th International Conference on Cloud and Big Data Computing, 4th Cyber Science and Technology Congress (DASC-PiCom-CBDCom-CyberSciTech 2019)

Former Identifier

2006106439

Esploro creation date

2021-08-11