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Vision-Based Control in Harvesting Robots by Ariel Alejo Blanco is a document available to read on EtoBox.
What is Vision-Based Control in Harvesting Robots about?
This document reviews key techniques for vision-based control of harvesting robots, including vision acquisition strategies, fruit recognition algorithms, and eye-hand coordination methods. It discusses approaches like monocular cameras, stereovision, and thermal/spectral imaging for acquisition and techniques such as feature analysis, pattern recognition and visual servoing for fruit detection and picking. The challenges of applying these techniques and future trends involving human-robot collaboration are
- Author
- Ariel Alejo Blanco
- Language
- EN