Research on Environmental Perception Technology for Intelligent Robots Based on Machine Vision

Addressing the issue of insufficient environmental perception capabilities during the movement of intelligent robots, this paper puts forth a technology for environmental perception of intelligent robots based on machine vision. The approach commences by capturing environmental images using cameras mounted on the robot, followed by processing and analyzing the collected data for path planning. Through the construction of a robotic platform and field environmental testing, the results demonstrate that the proposed method exhibits high accuracy and reliability in perceiving the surrounding environment, showcasing significant innovation and practicality.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/aiim64537.2024.10934212
Citations
1
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
0.21
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article

Research on Environmental Perception Technology for Intelligent Robots Based on Machine Vision

Jinlan Wang, Ximing Qiao, Yanchun Shen
1 citations
Advanced Measurement and Detection Methods
0.21
article

Research on Environmental Perception Technology for Intelligent Robots Based on Machine Vision

Jinlan Wang, Ximing Qiao, Yanchun Shen
article en
1 citations

Abstract

Addressing the issue of insufficient environmental perception capabilities during the movement of intelligent robots, this paper puts forth a technology for environmental perception of intelligent robots based on machine vision. The approach commences by capturing environmental images using cameras mounted on the robot, followed by processing and analyzing the collected data for path planning. Through the construction of a robotic platform and field environmental testing, the results demonstrate that the proposed method exhibits high accuracy and reliability in perceiving the surrounding environment, showcasing significant innovation and practicality.

Guangzhou Railway Polytechnic (CN)
Climate action
Openalex Percentile: Top 43%
Advanced Measurement and Detection Methods
0.21
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