Towards the assisted teleoperation systems

Abstract

This paper describes the proposed humanoid robot teleoperation system capable of task learning through teleoperation. The system is based on the task rule extraction from the data acquired by monitoring a human operator during the teleoperation process. The basic information about teleoperation systems, history, applications and current trends are provided in the first part of the paper. The second part of this paper is dedicated to the architecture and software implementation of the proposed system. The last two sections are dedicated to the conducted experiments and conclusion of the project and the possible improvements considered for the future work.