Real-Time Object Coordinate Detection and Manipulator Control Using Rigidly Trained Convolutional Neural Networks.
Yu-Ming ChangChih-Hung G. LiYi-Feng HongPublished in: CASE (2019)
Keyphrases
- convolutional neural networks
- control system
- convolutional network
- real time
- robotic manipulator
- control method
- real time control
- vision system
- d objects
- object model
- control strategy
- coordinate systems
- object detection
- data acquisition
- false positives
- detection algorithm
- adaboost classifier
- rigid objects
- moving objects
- bounding box
- end effector
- computer controlled
- object segmentation
- detection rate
- hand eye
- detecting and tracking multiple
- robotic arm
- face detection and tracking
- tightly coupled
- object detectors
- training set
- robot manipulators
- control signals
- robotic systems
- degrees of freedom
- object tracking
- object recognition
- multiscale