Learning from demonstration (LfD) enables robots to intuitively acquire new skills from
human demonstrations and incrementally evolve robotic intelligence. Given the significance …

Variable impedance control (VIC) is rapidly becoming an important ingredient for robotic
manipulation in unstructured and uncertain environments. In such situations, it is often …

Rather than traditional position control, impedance control is preferred to ensure the safe
operation of industrial robots programmed from demonstrations. However, variable stiffness …

Robotic contact-rich insertion tasks present a significant challenge for motion planning due
to the complex force interaction between robots and objects. Although many learning-based …

This article introduces a framework for complex human-robot collaboration tasks, such as
the co-manufacturing of furniture. For these tasks, it is essential to encode tasks from human …

Learning robot manipulation skills from human demonstration is one of the key technologies
for the cooperative robot. However, the traditional learning methods are difficult to be rapidly …

Collaborative robots referring to physical human-robot interaction applications have drawn
considerable attention. There have been lots of methods based on skill learning to help …