Advanced Application of Artificial Intelligence and Machine Vision in Biorobots and Biosensors
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 491
Special Issue Editors
Interests: artificial intelligence; machine vision; biorobots; biosensors; medical image processing
Special Issue Information
Dear Colleagues,
In recent years, artificial intelligence and machine vision have rapidly developed and are widely used in robots, sensors and other related fields. Artificial intelligence and machine vision have played a very important role in the development of advanced robots and sensors. The ultimate goal of the progress in bioelectronics and robotics technology is to establish compatible and lifelike machines and electronic products to interface between artificial devices and biological structures. Biosensors are electrical devices that measure biological signals and convert them into electrical signals. A biosensor is an analytical device that conveys or detects the presence of analytes in the relevant medium.
Artificial intelligence and machine vision are widely used in the research on advanced robots and electronic sensors. However, research results regarding biorobots and biosensors are relatively few. The exploratory research and development in the field of biorobots and biosensors based on artificial intelligence and machine vision is worth promoting, demonstrating the latest developments in technology and methodologies in this interdisciplinary field.
This Special Issue of "Advanced Application of Artificial Intelligence and Machine Vision in Biorobots and Biosensors" will bring together research groups interested in biological robots and biosensors from scientific institutions and universities, focusing on artificial intelligence and machine vision.
Dr. Jianjun Yan
Dr. Guozhu Zhang
Guest Editors
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Keywords
- artificial intelligence
- image analysis
- machine vision
- industrial and robotic vision systems
- biorobots
- molecular robots
- biosensors
- integrated biosensors
- advanced sensing platforms
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