Learning from demonstration for autonomous generation of robotic trajectory: Status quo and forward-looking overview
Learning from demonstration (LfD) enables robots to intuitively acquire new skills from
human demonstrations and incrementally evolve robotic intelligence. Given the significance …
human demonstrations and incrementally evolve robotic intelligence. Given the significance …
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 Trajectory Optimisation-Based Incremental Learning Strategy for Learning from Demonstration
The insufficient generalisation capability of the conventional learning from demonstration
(LfD) model necessitates redemonstrations. In addition, retraining the model can overwrite …
(LfD) model necessitates redemonstrations. In addition, retraining the model can overwrite …