MATEC Web Conf.
Volume 123, 20172017 The 2nd International Conference on Precision Machinery and Manufacturing Technology (ICPMMT 2017)
|Number of page(s)||6|
|Published online||21 September 2017|
Applying virtual reality to remote control of mobile robot
1 National Pingtung University of Science and Technology, No. 1, Shuefu Road, Neipu, Pingtung, 91201, TAIWAN R.O.C.
2 Van Guard Mold Enterprise CO. LTD., No.11, Dazhan Ln, Yanchao Dist., Kaohsiung City, 82444, TAIWAN R.O.C.
* e-mail: firstname.lastname@example.org
The purpose of this research is based on virtual reality to assisted pick and place tasks. Virtual reality can be utilized to control remote robot for pick and place element. The operator monitored and controlled the situation information of working site by Human Machine Interface. Therefore, we worked in harsh or dangerous environments that thing can be avoided. The procedure to operate mobile robot in virtual reality describes as follow: An experiment site with really experimental equipment is first established. Then, the experimental equipment and scene modeling are input to virtual reality for establishing a environment similar to the reality. Finally, the remote mobile robot is controlled to operate pick and place tasks through wireless communication by the object operation in virtual reality. The robot consists of a movable robot platform and robotic arm. The virtual reality is constructed by EON software; the Human Machine Interface is established by Visual Basic. The wireless connection is equipped the wireless Bluetooth, which is set the PC and PLC controller. With experimental tests to verify the robot in virtual reality and the wireless remote control, the robot could be operated and controlled to successfully complete pick and place tasks in reality by Human Machine Interface.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.