A survey on the visual perception of humanoid robot

Teng Bin; Hanming Yan; Ning Wang; Milutin N. Nikolić; Jianming Yao; Tianwei Zhang

Biomimetic Intelligence and Robotics (Mar 2025)

A survey on the visual perception of humanoid robot

Teng Bin,
Hanming Yan,
Ning Wang,
Milutin N. Nikolić,
Jianming Yao,
Tianwei Zhang

Affiliations

Teng Bin: The Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen 518172, China; College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
Hanming Yan: College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
Ning Wang: The Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen 518172, China; College of Mechatronics Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Milutin N. Nikolić: Faculty of Technical Sciences, University of Novi Sad, Novi Sad 21102, Serbia
Jianming Yao: The Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen 518172, China; Electronic science and technology, Guangdong University of Technology, Guangzhou 510006, China
Tianwei Zhang: The Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen 518172, China; Corresponding author.

Journal volume & issue: Vol. 5, no. 1
p. 100197

Abstract

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In recent years, humanoid robots have gained significant attention due to their potential to revolutionize various industries, from healthcare to manufacturing. A key factor driving this transformation is the advancement of visual perception systems, which are crucial for making humanoid robots more intelligent and autonomous. Despite the progress, the full potential of vision-based technologies in humanoid robots has yet to be fully realized. This review aims to provide a comprehensive overview of recent advancements in visual perception applied to humanoid robots, specifically focusing on applications in state estimation and environmental interaction. By summarizing key developments and analyzing the challenges and opportunities in these areas, this paper seeks to inspire future research that can unlock new capabilities for humanoid robots, enabling them to better navigate complex environments, perform intricate tasks, and interact seamlessly with humans.

Published in Biomimetic Intelligence and Robotics

ISSN: 2097-0242 (Print); 2667-3797 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering; Science: Mathematics: Instruments and machines: Electronic computers. Computer science
Website: https://www.journals.elsevier.com/biomimetic-intelligence-and-robotics

About the journal