Abstract
The research is aimed to improve a controller for spherical mobile robots. The main issues of the existing controller are related to the computational capabilities of a low-power digital controller and the slow handling of sensor data. A survey of suitable contemporary technologies and approaches to spherical robot control was done. A hybrid analogue-digital architecture is considered the best way to control the robot. It is concluded, that exactly hybrid controller, which combines specialised analogue accelerators with multi-purpose digital controllers can be the most power-efficient, compact and fast architecture for bio-inspired robots.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ylikorpi, T, Suomela, J.: Ball-shaped robots: a historical overview and recent developments at TKK. In: International Conference on Field and Service Robotics. Port Douglas, Australia, p. 6 (2005)
Ulmann, B.: Analog Computing. Oldenbourg Wissenschaftsverlag, München (2013)
Köppel, S., Ulmann, B., Heimann, L., Killat, D.:Using analog computers in today‘s largest computational challenges. arXiv:2102.07268v2 [physics.comp-ph]
Tietze, U., Schenk, C., Gamm, E.: Electronic Circuits: Handbook for Design and Application. 2nd edn. Springer-Verlag Berlin Heidelberg, New York (2008).https://doi.org/10.1007/978-3-540-78655-9
Cuong, N.D., Van Lanh, N., Van Huyen, D.: Design of LQG controller using operational amplifiers for motion control systems. J. Automation and Control Eng. 3(2), 157-163 (2015)
Chen, B., Yang, H., Song, B., Meng, D., et al.: A memristor-based hybrid analog-digital computing platform for mobile robotics. Sci. Robot. 5(47), 1–7 (2020)
Still, S., Tilden, M.: Controller for a four-legged walking machine. Neuromorphic Systems 138–148 (1998)
Hasslacher, B., Tilden, M.W.: Living machines. Robotics Auton. Syst. 15(1-2), 143-169 (1995)
Hasler, J.: Analog abstraction, computation, and numerical analysis. In: 2018 IEEE International Symposium on Circuits and Systems (ISCAS), Florence, pp. 1–5 (2018)
Lu, J., Young, S., Arel, I., Holleman, J.: A 1 TOPS/W analog deep machine-learning engine with floating-gate storage in 0.13 um CMOS. IEEE J. Solid-State Circuits 50, 270–281 (2015)
Chua, L.O., Sirakoulis, G.C., Adamatzky, A.: Handbook of Memristor Networks. Springer (2019). https://doi.org/10.1007/978-3-319-76375-0
Braitenberg, V.: Vehicles, Experiments in Synthetic Psychology. MIT Press, Cambridge, Mass (1984)
Moon, F.: Chaotic Vibrations. John Wiley&Son (2004)
Sooraska, P., Klomkarn, P.: “No-CPU” chaotic robots: from classroom to commerce. Circuits and Systems Magazine, IEEE 10, 46–53 (2010)
Baird, B., Hirsch, M.W., Eeckman, F.: A neural network associative memory for handwritten character recognition using multiple Chua characters. IEEE Trans. Circuits Syst. II: Analog and Digital Signal Processing 40, 667–674 (1993)
Jankowski, S., Londei, A., Mazur, C., Lozowski, A.: Synchronization and association in a large network of coupled Chua’s circuits. Int. J. of Electronics 79, 823–828 (1995)
Nakajima, K., Fischer, I.: Reservoir computing. Theory, Physical Implementations, and Applications. Springer (2021). https://doi.org/10.1007/978-981-13-1687-6
Tanaka, G., Yamane, T., Heroux, J.B., Nakane, R., et al.: Recent advances in physical reservoir computing: a review. Neural Netw. 115, 100–123 (2019)
Acknowledgement
This work has been supported by the grant BRFFI-RFFI No. F18R-229.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Sychou, U., Prakapovich, R., Kapustjan, S., Shabanov, V. (2022). A Hybrid Control System Architecture for a Mobile Robot to Provide an Energy-Efficient and Fast Data Processing. In: Schneider, J.J., Weyland, M.S., Flumini, D., Füchslin, R.M. (eds) Artificial Life and Evolutionary Computation. WIVACE 2021. Communications in Computer and Information Science, vol 1722. Springer, Cham. https://doi.org/10.1007/978-3-031-23929-8_10
Download citation
DOI: https://doi.org/10.1007/978-3-031-23929-8_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-23928-1
Online ISBN: 978-3-031-23929-8
eBook Packages: Computer ScienceComputer Science (R0)