Abstract
This paper presents a virtual reality environment designed for military training personnel, focused on the remote control of unmanned land vehicles. The environment design has been made in the V-REP software, where a prototype of an explorer robot based on the kinematic model of a unicycle is presented. This vehicle is attached with proximity sensors to detect obstacles and thus be able to avoid them. Instead of operating with a conventional joystick that only allows the use of push buttons, a haptic device with force feedback is used with which the user experiences a more realistic immersive situation. In this context, the person can manipulate the unmanned vehicle direction and perceive when there is a collision with a nearby object as if it were on the site. To link the input device (Novint Falcon) with the virtual interface, the device mathematical modelling is carried out, and through MATLAB, the respective processing and the implementation of the proportional–integral–derivative (PID) control algorithm for the displacement are made. The after-scenario questionnaire (ASQ) test is used, and a general average of 1.78/7 is obtained. Being a value close to 1, it shows the acceptance that the system has for the users.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Mosey, S., Guerrero, M., Greenman, A.J.: Technology entrepreneurship research opportunities: insights from across Europe. J. Technol. Transfer 42(1), 1–9 (2017)
McCarthy, J., Wright, P.: The Enchantments of Technology. Human–Computer Interaction Series, pp. 359–373. Springer (2018)
Zieliński, C., Winiarski, T., Kornuta, T.: Agent-based structures of robot systems. In: The 19th Polish Control Conference, KKA 2017, pp. 493–502. Springer (2017)
Kunze, L., Hawes, N., Duckett, T., Hanheide, M., Krajník, T.: Artificial intelligence for long-term robot autonomy: a survey. IEEE Rob. Autom. Lett. 3(4), 4023–4030 (2018)
Choi, S.Y.: Agent-based human-robot interaction simulation model for the analysis of operator performance in the supervisory control of UGVs. Int. J. Precis. Eng. Manuf. 19(5), 685–693 (2018)
Aguilar, W.G., Rodríguez, G.A., Álvarez, L., Sandoval, S., Quisaguano, F., Limaico, A.: On-board visual SLAM on a UGV using a RGB-D camera. In: 10th International Conference on Intelligent Robotics and Applications, ICIRA 2017, pp. 298–308. Springer (2017)
Arbanas, B., et al.: Decentralized planning and control for UAV–UGV cooperative teams. Auton. Rob. 42(8), 1601–1618 (2018)
Wang, H.: Adaptive control of robot manipulators with uncertain kinematics and dynamics. IEEE Trans. Autom. Control 62(2), 948–954 (2017)
Stevens, J.A., Kincaid, J.P.: The relationship between presence and performance in virtual simulation training. Open J. Model. Simul. 3(2), 41–48 (2015)
Smith, M.J., et al.: Virtual reality job interview training for veterans with posttraumatic stress disorder. J. Vocat. Rehabil. 42(3), 271–279 (2015)
Siu, K.C., Best, B.J., Kim, J.W., Oleynikov, D., Ritter, F.E.: Adaptive virtual reality training to optimize military medical skills acquisition and retention. Mil. Med. 181(5), 214–220 (2016)
Ibari, B., Ahmed-Foitih, Z., Reda, H.E.A.: Remote control of mobile robot using the virtual reality. Int. J. Electr. Comput. Eng. 5(5) (2015)
Tikanmäki, A., Bedrník, T., Raveendran, R., Röning, J.: The remote operation and environment reconstruction of outdoor mobile robots using virtual reality. In: 2017 IEEE International Conference on Mechatronics and Automation (ICMA), pp. 1526–1531 (2017)
Lwowski, J., Joordens, M., Majumdar, A., Benavidez, P., Prevost, J.J., Jamshidi, M.: The utilization of virtual reality as a system of systems research tool. In: 2018 IEEE 13th Annual Conference on System of Systems Engineering (SoSE), pp. 535–540 (2018)
Lewis, J.R.: IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use. Int. J. Hum. Comput. Interact. 7(1), 57–78 (1995)
Acknowledgements
To the authorities of Universidad Técnica de Ambato (UTA), Dirección de Investigación y Desarrollo (DIDE), Instituto Tecnológico Superior Guayaquil—Ambato and CELEC EP., for supporting this work and future research.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Roberto Segura, F. et al. (2020). Virtual Environment for Remote Control of UGVs Using a Haptic Device. In: Rocha, Á., Pereira, R. (eds) Developments and Advances in Defense and Security. Smart Innovation, Systems and Technologies, vol 152. Springer, Singapore. https://doi.org/10.1007/978-981-13-9155-2_41
Download citation
DOI: https://doi.org/10.1007/978-981-13-9155-2_41
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9154-5
Online ISBN: 978-981-13-9155-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)