Biological systems, including human beings, have the innate ability to perform complex
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …

Imitation Learning (IL), also referred to as Learning from Demonstration (LfD), holds
significant promise for capturing expert motor skills through efficient imitation, facilitating …

Unsupervised video prediction aims to predict future outcomes based on the observed video
frames, thus removing the need for supervisory annotations. This research task has been …

Human–robot object handover is one of the most primitive and crucial capabilities in human–
robot collaboration. It is of great significance to promote robots to truly enter human …

Enabling dynamic human-to-robot handovers is a challenging task, requiring a combination
of human pose estimation, motion prediction and generation of a suitable receiving robot …

The accumulation of a sufficient amount of data for training deep neural networks is a major
hindrance in the application of deep learning in robotics. Acquiring real-world data requires …

This chapter addresses cooperative task executions using a hierarchical database of
example human motions. The approach is based on a dual database of example …