Title :
A natural assisted navigation motion for telepresence robots
Author :
Wing Kwong Chung ; Tin Lun Lam ; Yangsheng Xu
Author_Institution :
Intell. Robot. Res. Centre, Smart China Holdings Ltd., Hong Kong, China
Abstract :
Recently, the control of telepresence robots is still a challenge for researchers. In this paper, we propose a method to realize a more natural assisted navigation for telepresence robots during teleoperation. Different from existing approaches, the proposed method utilizes an omni-directional chassis which is realized by a three wheels drive (3WD) mechanism. Without using any expensive 3D sensing equipments, our proposed method is realized by using only low cost ultrasonic sensors. To increase the sensing frequency, we propose a new sensing method for the ultrasonic sensors. To generate the avoidance motions, Potential Field (PF) method is applied. Different from conventional approach, obstacle avoidance motions are realized naturally through linear translations. With this method, the robot´s orientation can be maintained which improves user experience and allows a more user-friendly teleoperation. To evaluate the proposed method, it has been implemented on our previous developed telepresence robot, called `T-robot´. Results show that the PF method helps reduce the teleoperated time with no collisions and user intervention. Also, a more natural movement and user friendly control is achieved.
Keywords :
collision avoidance; control engineering computing; drives; human-robot interaction; motion control; telerobotics; ultrasonic transducers; wheels; 3WD mechanism; PF method; T-robot; linear translations; low cost ultrasonic sensors; natural assisted navigation motion; natural movement; obstacle avoidance motions; omni-directional chassis; potential field method; robot orientation; sensing frequency; sensing method; telepresence robots control; three wheels drive mechanism; user experience; user friendly control; user-friendly teleoperation; Acoustics; Collision avoidance; Mobile robots; Navigation; Robot sensing systems;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on
DOI :
10.1109/ROBIO.2014.7090675