Learning compliant robotic movements based on biomimetic motor adaptation
It is one of the great challenges for a robot to learn compliant movements in interaction tasks.
The robot can easily acquire motion skills from a human tutor by kinematics demonstration …
The robot can easily acquire motion skills from a human tutor by kinematics demonstration …
Lifelong visual-tactile cross-modal learning for robotic material perception
W Zheng, H Liu, F Sun - IEEE transactions on neural networks …, 2020 - ieeexplore.ieee.org
The material attribute of an object's surface is critical to enable robots to perform dexterous
manipulations or actively interact with their surrounding objects. Tactile sensing has shown …
manipulations or actively interact with their surrounding objects. Tactile sensing has shown …
Joint feature and label adversarial network for wafer map defect recognition
Deep neural networks (DNNs), eg, convolutional neural network (CNN), are able to learn
effective features from wafer maps for dimensional reduction and feature extraction …
effective features from wafer maps for dimensional reduction and feature extraction …