A novel human-robot skill transfer method for contact-rich manipulation task
J Dong, W Si, C Yang - Robotic Intelligence and Automation, 2023 - emerald.com
Purpose The purpose of this paper is to enhance the robot's ability to complete multi-step
contact tasks in unknown or dynamic environments, as well as the generalization ability of …
contact tasks in unknown or dynamic environments, as well as the generalization ability of …
A framework for composite layup skill learning and generalizing through teleoperation
In this article, an impedance control-based framework for human-robot composite layup skill
transfer was developed, and the human-in-the-loop mechanism was investigated to achieve …
transfer was developed, and the human-in-the-loop mechanism was investigated to achieve …
Robot Learning from Multiple Demonstrations Based on Generalized Gaussian Mixture Model
The quality of skills learned by robots from demonstrations depends on the level of
demonstration by the instructor, while models such as Dynamic Motion Primitives (DMP) are …
demonstration by the instructor, while models such as Dynamic Motion Primitives (DMP) are …