Assessing Deep Learning Models for Human-Robot Collaboration Collision Detection in Industrial Environments.
Iago R. R. SilvaGibson B. N. BarbosaCarolina C. D. LedebourAssis T. Oliveira FilhoJudith KelnerDjamel SadokSilvia LinsRicardo S. SouzaPublished in: BRACIS (2020)
Keyphrases
- learning models
- collision detection
- human robot
- robotic systems
- human robot interaction
- loss function
- computer graphics
- virtual environment
- dialogue system
- learning algorithm
- machine learning
- rigid body
- semi supervised learning
- learning tasks
- conditional random fields
- machine learning algorithms
- action selection
- classification models
- humanoid robot
- learning problems
- deformable objects
- bounding box
- human users
- data sets
- supervised learning
- mobile robot
- multi modal
- hidden markov models
- evolutionary algorithm
- unsupervised learning
- support vector
- decision trees