Robots that have different forms and capabilities are used in a wide variety of situations;
however, one common point to all robots interacting with humans is their ability to …

Despite remarkable progress in artificial intelligence, autonomous humanoid robots are still
far from matching human-level manipulation and locomotion proficiency in real applications …

A household robot is expected to perform various manipulative operations with an
understanding of the purpose of the task. To this end, a desirable robotic application should …

In this paper, an exoskeleton performing a sit-to-stand motion is studied. A new approach to
control system design for this mechanism is proposed. Proposed control system uses …

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 …

Enabling household robots to passively learn task-level skills from human demonstration
could substantially boost their application in daily life. In this letter, we propose a Learning …

The learning-from-observation (LfO) framework aims to map human demonstrations to a
robot to reduce programming effort. To this end, an LfO system encodes a human …

In our daily conversation, we obtain considerable information from our interlocutor's non-
verbal behaviors, such as gaze and gestures. Several studies have shown that nonverbal …

We present the Interactive Task Encoding System (ITES) for teaching robots to perform
manipulative tasks. ITES is designed as an input system for the Learning-from-Observation …

This paper describes a computational study regarding the way real humans manifest their
facial expressions and emotions and how other people perceive that when applied to virtual …