Analysis of Basic Principles for Sensor System Design Process Mobile Robots

  • Vyacheslav Lyashenko Department of Informatics, Kharkiv National University of Radio Electronics, Ukrainе
  • Svitlana Sotnik Department of Computer-Integrated Technologies, Automation and Mechatronics, Kharkiv National University of RadioElectronics, Ukraine
Keywords: Mobile Robot, Principles, Design, Sensors, System


This work considers general classification of SS, which is grouped according to their functional tasks and consists of three groups of devices, as result, an analysis is carried out and features that must be taken into account when designing such sensor systems are determined. The paper proposes a general principle for design of sensor systems of mobile robots, which differs in that an initial model is proposed, which will be one of key components for further design concept. General principles of sensory systems organization are proposed: sensitivity, modality, adaptation and speed.


Beetz, M., Bálint-Benczédi, F., Blodow, N., Nyga, D., Wiedemeyer, T., & Marton, Z. C. (2015). Robosherlock: Unstructured information processing for robot perception. In 2015 IEEE International Conference on Robotics and Automation (ICRA), 1549-1556.

Bräunl, T. (2020). Navigation.In Robot Adventures in Python and C. Springer, Cham, 109-123.

Cifuentes, C., Braidot, A., Rodríguez, L., Frisoli, M., Santiago, A., &Frizera, A. (2012). Development of a wearable ZigBee sensor system for upper limb rehabilitation robotics.In 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), 1989-1994.

Jung, Y. H., Park, B., Kim, J. U., & Kim, T. I. (2019). Bioinspired electronics for artificial sensory systems. Advanced Materials, 31(34), 1803637.

Leonard, J. J., & Bahr, A. (2016). Autonomous underwater vehicle navigation.In Springer Handbook of Ocean Engineering, 341-358.

Lyashenko, V.,Lyubchenko, V., Mohammad,A.,Alveera,K., & Kobylin, O. (2016). The Methodology of Image Processing in the Study of the Properties of Fiber as a Reinforcing Agent in Polymer Compositions. International Journal of Advanced Research in Computer Science, 7(1), 15-18.

Matarneh, R., Maksymova, S., Lyashenko, V.,&Belova, N. (2017). Speech Recognition Systems: A Comparative Review.Journal of Computer Engineering (IOSR-JCE), 19(5), 71-79.

Mohanan, M. G., &Salgoankar, A. (2018). A survey of robotic motion planning in dynamic environments. Robotics and Autonomous Systems, 100, 171-185.

Mukai, T., Onishi, M., Odashima, T., Hirano, S., &Luo, Z. (2008). Development of the tactile sensor system of a human-interactive robot «RI-MAN». IEEE Transactions on robotics, 24(2), 505-512.

Nikolic, J., Rehder, J., Burri, M., Gohl, P., Leutenegger, S., Furgale, P. T., & Siegwart, R. (2014). A synchronized visual-inertial sensor system with FPGA pre-processing for accurate real-time SLAM.In 2014 IEEE international conference on robotics and automation (ICRA), 431-437.

Novak, D.,& Riner, R. (2015). Obzor metodovo bedineniya sensorovv nosimojrobotote khnike. Roboto tekhnikai avtonomnyesistemy, 73, 155-170.

Rabotiahov, A., Kobylin, O., Dudar, Z., &Lyashenko, V. (2018). Bionic image segmentation of cytology samples method. In 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET), 665-670.

Sotnik, S., Mustafa, S. K., Ahmad, M. A., Lyashenko, V., &Zeleniy, O. (2020). Some Features of Route Planning as the Basis in a Mobile Robot. International Journal, 8(5), 2074-2079.

How to Cite
Lyashenko, V., & Sotnik, S. (2020). Analysis of Basic Principles for Sensor System Design Process Mobile Robots. Journal La Multiapp, 1(4), 1-6.