In this paper, we present a system that enables humanoid robots to imitate complex whole-
body motions of humans in real time. In our approach, we use a compact human model and …

Human activitiy recognition deals with the integration of sensing and reasoning aiming to
understand better people's actions. Moreover, it plays an important role in human …

Transferring the motion from a human operator to a humanoid robot is a crucial step to
enable robots to learn from and replicate human movements. The ability to retarget in …

This paper presents a novel method for retargeting human motions onto a humanoid robot.
The method solves the following three simultaneous problems: the geometric parameter …

This paper studies assisted teleoperation techniques for controlling a 6DOF robot arm using
click-and-drag input from a computer mouse. Experiments were conducted to investigate …

Tele-nursing robots provide a safe approach for patient-caring in quarantine areas. For
effective nurse–robot collaboration, ergonomic teleoperation and intuitive interfaces with low …

Many works in robot teaching either focus only on teaching task knowledge, such as
geometric constraints, or motion knowledge, such as the motion for accomplishing a task …

In this paper, a novel framework which enables humanoid robots to learn new skills from
demonstration is proposed. The proposed framework makes use of real-time human motion …

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 …

An energy-efficient support vector machine (EE-SVM) learning control system considering
the energy cost of each training sample of biped dynamic is proposed to realize energy …