A learning framework for semantic reach-to-grasp tasks integrating machine learning and optimization.
Zhen DengXiaoxiang ZhengLiwei ZhangJianwei ZhangPublished in: Robotics Auton. Syst. (2018)
Keyphrases
- machine learning
- learning algorithm
- learning systems
- multiple tasks
- supervised learning
- learning problems
- knowledge acquisition
- reinforcement learning
- learning tasks
- learning methodologies
- explanation based learning
- statistical learning
- multi task
- learning process
- probabilistic model
- inductive learning
- context dependent
- learning scheme
- natural language
- optimization algorithm
- background knowledge
- information extraction
- learning models
- active learning
- learning mechanism
- optimization scheme
- learning environment
- decision trees