Real-time, highly accurate robotic grasp detection utilizing transfer learning for robots manipulating fragile fruits with widely variable sizes and shapes.
Boyuan CaoBaohua ZhangWei ZhengJun ZhouYihuan LinYuxin ChenPublished in: Comput. Electron. Agric. (2022)
Keyphrases
- highly accurate
- transfer learning
- real time
- robotic systems
- mobile robot
- knowledge transfer
- learning tasks
- capable of producing
- high quality
- domain adaptation
- active learning
- labeled data
- accurate models
- high accuracy
- manipulation tasks
- robotic platform
- cross domain
- reinforcement learning
- machine learning
- collaborative filtering
- semi supervised learning
- machine learning algorithms
- manifold alignment
- text categorization
- structure learning
- multi task learning
- target domain
- solve complex tasks
- transferring knowledge
- real robot
- multi task
- unsupervised learning
- text mining
- cooperative
- e learning
- feature selection
- real world