Imitation learning techniques aim to mimic human behavior in a given task. An agent (a
learning machine) is trained to perform a task from demonstrations by learning a mapping …

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 …

Given the resemblance between the human body and that of a humanoid robot, a very
intuitive control system might use motion capture; the system would track the motion of …

Isometry has been widely used in corresponding problem with pose variation. However,
most existing methods are causing wrong correspondences due to the ambiguity of …

In the context of learning new skills by imitation for children with special educational needs,
we propose Wireless Kinect-NAO Framework (WKNF) for robot teleoperation in real time …

Abstract Virtual Reality (VR) and Machine Learning (ML) are exciting and dynamic fields of
emergent technological research, offering realistic training solutions that meet users' training …

Existing techniques for motion imitation often suffer a certain level of latency due to their
computational overhead or a large set of correspondence samples to search. To achieve …