Research on Intelligent Navigation and Dynamic Obstacle Avoidance of Robots Based on Visual Perception: A Review

Xiang Li

doi:10.54254/2755-2721/2025.LD27801

Applied and Computational EngineeringOpen access

Research on Intelligent Navigation and Dynamic Obstacle Avoidance of Robots Based on Visual Perception: A Review

Research Article

Open Access

Research on Intelligent Navigation and Dynamic Obstacle Avoidance of Robots Based on Visual Perception: A Review

Xiang Li ^1*

¹ Faculty of Information Science and Technology (FTSM), National University of Malaysia (UKM), Bangi, Malaysia

^*Corresponding author: lx11668899@gmail.com

Published on 14 October 2025

ACE Vol.191

ISSN (Print): 2755-273X

ISSN (Online): 2755-2721

ISBN (Print): 978-1-80590-184-6

ISBN (Online): 978-1-80590-129-7

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Abstract

In modern robotic autonomous operations, navigation and dynamic interaction in unstructured scenarios are key to achieving efficient operations. However, current research on visual perception-based robotic systems lacks adaptability to unstructured scenarios and integration with engineering applications. This article reviews visual perception-driven intelligent navigation and dynamic interaction for robotics, analyzing the technical modules of visual SLAM and navigation collaboration, visual object recognition optimization, and multi-node autonomous interaction. The research found that the collaboration between visual SLAM and navigation has mostly been demonstrated in ideal environments, visual recognition algorithms are less adaptable to complex interference, and the engineering integration of "navigation-recognition-interaction" needs to be strengthened. This review aims to establish a solid theoretical foundation for designing robotic systems in low- and medium-complexity scenarios, advance visual perception technology from laboratory research to industrial application, and contribute to breakthroughs and developments in related fields.

Keywords:

Visual Perception, Visual SLAM, Navigation Collaboration, Visual Target Recognition, Multi-node Autonomous Interaction

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References

Cite this article

Li,X. (2025). Research on Intelligent Navigation and Dynamic Obstacle Avoidance of Robots Based on Visual Perception: A Review. Applied and Computational Engineering,191,11-17.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of CONF-MLA 2025 Symposium: Intelligent Systems and Automation: AI Models, IoT, and Robotic Algorithms

ISBN: 978-1-80590-184-6(Print) / 978-1-80590-129-7(Online)

Editor: Hisham AbouGrad

Conference website: https://www.confmla.org/london.html

Conference date: 17 November 2025

Series: Applied and Computational Engineering

Volume number: Vol.191

ISSN: 2755-2721(Print) / 2755-273X(Online)

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