Machine Learning towards Robot Vision
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Automation and Control Systems".
Deadline for manuscript submissions: closed (20 January 2024) | Viewed by 390
Special Issue Editor
Interests: machine learning; robotics; deep learning; automated surveillance system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The widespread use of robots powered by artificial intelligence (AI) and autonomous vehicles equipped with machine vision are used to perform more complex tasks, such as organizing warehouses or navigating traffic. However, these potentially transformative robotics developments are dependent on the availability of training data, AI, and advanced machine learning algorithms. In order to develop new generations of robots and autonomous vehicles, researchers investigate every aspect of robotic applications to allow robots to effectively interact with the physical world. The scope of this Special Issue includes, but not limited to, deep learning, human–computer interface, artificial intelligence, sensor planning, image processing, segmentation, 3D reconstruction, path planning, and robotic applications. In recent years, there is a huge gap between technological and industrial demands, in which the need for fully automated robots is increasing. To remove this gap, the Special Issue can provide a useful platform to satisfy industrial needs.
Dr. Chung-Hao Chen
Guest Editor
Manuscript Submission Information
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Keywords
- machine vision
- artificial intelligence
- autonomous vehicle
- deep learning
- robot
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