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 …
An electromyography signals-based human-robot collaboration method for human skill learning and imitation
T Zhang, H Sun, Y Zou, H Chu - Journal of Manufacturing Systems, 2022 - Elsevier
Human beings have strong perception and decision-making ability. In human-human
collaboration, the follower can adjust the motion speed by perceiving the change of external …
collaboration, the follower can adjust the motion speed by perceiving the change of external …
Probabilized Dynamic Movement Primitives and Model Predictive Planning for Enhanced Trajectory Imitation Learning
Recent studies of mimic learning with control methods have been predominantly confined to
the single-trajectory learning framework of dynamic movement primitives. In contrast, the …
the single-trajectory learning framework of dynamic movement primitives. In contrast, the …
Skill generalization for dual-arm robot flipping manipulation using OLC-DMP method
Collaborative tasks for dual-arm robots, such as box flipping tasks, require tight cooperation
between the arms, which are always difficult to program and execute autonomously for …
between the arms, which are always difficult to program and execute autonomously for …