Suction-based Grasp Point Estimation in Cluttered Environment for Robotic Manipulator Using Deep Learning-based Affordance Map.
Tri Wahyu UtomoAdha Imam CahyadiIgi ArdiyantoPublished in: Int. J. Autom. Comput. (2021)
Keyphrases
- deep learning
- cluttered environments
- robotic manipulator
- end effector
- unsupervised learning
- machine learning
- weakly supervised
- control scheme
- visual servoing
- mental models
- target tracking
- degrees of freedom
- robotic systems
- dimensionality reduction
- principal component analysis
- supervised learning
- inverse kinematics
- object detection
- training data
- real time