Hand movement data acquisition is used in many engineering applications ranging from the
analysis of gestures to the biomedical sciences. Glove-based systems represent one of the …

In this paper, we analyze the different approaches taken to date within the computer vision,
robotics and artificial intelligence communities for the representation, recognition, synthesis …

In some complicated tabletop object manipulation task for robotic system, demonstration
based control is an efficient way to enhance the stability of execution. In this paper, we use a …

Many countries around the world face three major issues associated with their aging
societies: a declining population, an increasing proportion of seniors, and an increasing …

In this paper, we deal with the problem of learning by demonstration, task level learning and
planning for robotic applications that involve object manipulation. Preprogramming robots …

Just as end-user programming has helped make computer programming accessible for a
variety of users and settings, end-user robot programming has helped empower end-users …

In this paper, we present a novel method for learning robot tasks from multiple
demonstrations. Each demonstrated task is decomposed into subtasks that allow for …

This paper proposes an inertial human motion tracking for robot programming by
demonstration (PbD). An original element called heading reset is proposed to catch the drift …

This paper presents a novel method for learning object manipulation such as rotating an
object or placing one object on another. In this method, motions are learned using reference …

This paper describes a new approach on how to teach everyday manipulation tasks to a
robot under the" Learning from Observation" framework. In our previous work, to acquire low …