Visual Serving of Thin & Small Objects Using Learning Methods

Description

Hanz Cuevas Velasquez Automating rose pruning is an unexplored area that involves different computer vision problems because of the complex nature of the rose bushes. This research identifies three main steps that a robot should follow to perform this task and uses a convolutional neural network architecture and reinforcement learning: Plant modelling to segment the branches Object detection to detect the eye-buds on the bush Visual surveying to make a robotic arm approach the branches and eye-buds