Legged robots are designed to perform highly dynamic motions. However, it remains
challenging for users to retarget expressive motions onto these complex systems. In this …

Mapping human hand motion to robotic hands has great significance in a wide range of
applications, such as teleoperation and imitation learning. The ultimate goal is to develop a …

Transfer learning is a conceptually-enticing paradigm in pursuit of truly intelligent embodied
agents. The core concept--reusing prior knowledge to learn in and from novel situations--is …

A system, method, and computer program product for esti mating human body pose are
described. According to one aspect, anatomical features are detected in a depth image of a …

This paper contributes towards the development of motion tracking algorithms for time-
critical applications, proposing an infrastructure for dynamically solving the inverse …

Visualization techniques for the usage of tools, handicrafts, and assembly operations are
employed for demonstrating processes (eg, assembly instructions). Until today, most …

We aim to develop an efficient programming method for equipping service robots with the
skill of performing sign language motions. This paper addresses the problem of transferring …

Imitation of the upper body motions of human demonstrators or animation characters to
human-shaped robots is studied in this paper. We present a pipeline for motion retargeting …

In this paper we summarize some of the current work in the field of robot-based therapy for
children with autism, and explore new directions that emphasize the important role of the …

Motion retargeting between heterogeneous polymorphs with different sizes and kinematic
configurations requires a comprehensive knowledge of (inverse) kinematics. Moreover, it is …