A survey on the visual perception of humanoid robot
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...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
|
| Series: | Biomimetic Intelligence and Robotics |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266737972400055X |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832589986251145216 |
|---|---|
| author | Teng Bin Hanming Yan Ning Wang Milutin N. Nikolić Jianming Yao Tianwei Zhang |
| author_facet | Teng Bin Hanming Yan Ning Wang Milutin N. Nikolić Jianming Yao Tianwei Zhang |
| author_sort | Teng Bin |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-7c1e8e085d3b41858006a877f41d10ff |
| institution | Kabale University |
| issn | 2667-3797 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Biomimetic Intelligence and Robotics |
| spelling | doaj-art-7c1e8e085d3b41858006a877f41d10ff2025-01-24T04:45:56ZengElsevierBiomimetic Intelligence and Robotics2667-37972025-03-0151100197A survey on the visual perception of humanoid robotTeng Bin0Hanming Yan1Ning Wang2Milutin N. Nikolić3Jianming Yao4Tianwei Zhang5The Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen 518172, China; College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, ChinaThe Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen 518172, China; College of Mechatronics Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaFaculty of Technical Sciences, University of Novi Sad, Novi Sad 21102, SerbiaThe Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen 518172, China; Electronic science and technology, Guangdong University of Technology, Guangzhou 510006, ChinaThe Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen 518172, China; Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S266737972400055X |
| spellingShingle | Teng Bin Hanming Yan Ning Wang Milutin N. Nikolić Jianming Yao Tianwei Zhang A survey on the visual perception of humanoid robot Biomimetic Intelligence and Robotics |
| title | A survey on the visual perception of humanoid robot |
| title_full | A survey on the visual perception of humanoid robot |
| title_fullStr | A survey on the visual perception of humanoid robot |
| title_full_unstemmed | A survey on the visual perception of humanoid robot |
| title_short | A survey on the visual perception of humanoid robot |
| title_sort | survey on the visual perception of humanoid robot |
| url | http://www.sciencedirect.com/science/article/pii/S266737972400055X |
| work_keys_str_mv | AT tengbin asurveyonthevisualperceptionofhumanoidrobot AT hanmingyan asurveyonthevisualperceptionofhumanoidrobot AT ningwang asurveyonthevisualperceptionofhumanoidrobot AT milutinnnikolic asurveyonthevisualperceptionofhumanoidrobot AT jianmingyao asurveyonthevisualperceptionofhumanoidrobot AT tianweizhang asurveyonthevisualperceptionofhumanoidrobot AT tengbin surveyonthevisualperceptionofhumanoidrobot AT hanmingyan surveyonthevisualperceptionofhumanoidrobot AT ningwang surveyonthevisualperceptionofhumanoidrobot AT milutinnnikolic surveyonthevisualperceptionofhumanoidrobot AT jianmingyao surveyonthevisualperceptionofhumanoidrobot AT tianweizhang surveyonthevisualperceptionofhumanoidrobot |