A framework for robotic arm pose estimation and movement prediction based on deep and extreme learning models.
Iago Richard Rodrigues SilvaMarrone DantasAssis T. Oliveira FilhoGibson B. N. BarbosaDaniel BezerraRicardo S. SouzaMaria Valéria MarqueziniPatricia Takako EndoJudith KelnerDjamel H. SadokPublished in: CoRR (2022)
Keyphrases
- pose estimation
- learning models
- degrees of freedom
- robotic arm
- computer vision
- d objects
- learning algorithm
- feature points
- human body
- learning tasks
- body parts
- position and orientation
- machine learning
- machine learning algorithms
- loss function
- depth images
- similarity measure
- text classification
- semi supervised learning
- feature extraction
- three dimensional
- image segmentation