Skip to main content
Log in

A School of Robotic Fish for Mariculture Monitoring in the Sea Coast

  • Published:
Journal of Bionic Engineering Aims and scope Submit manuscript

Abstract

This paper presents a multi-agent robotic fish system used for mariculture monitoring. Autonomous robotic fish is designed to swim underwater to collect marine information such as water temperature and pollution level. Each robotic fish has 5 degrees of freedom for controlling its depth and speed by mimicking a sea carp. Its bionic body design enables it to have high swimming efficiency and less disturbance to the surrounding sea lives. Several onboard sensors are equipped for autonomous 3D navigation tasks such as path planning, obstacle avoidance and depth maintenance. A robotic buoy floating on the water surface is deployed as a control hub to communicate with individual robots, which in turn form a multi-agent system to monitor and cover a large scale sea coast cooperatively. Both laboratory experiments and field testing have been conducted to verify the feasibility and performance of the proposed multi-agent system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Hormann A. A petri net based control architecture for a multi-robot system. Proceedings of IEEE International Symposium on Intelligent Control, Albany, N Y, US, 1989, 493–498.

    Google Scholar 

  2. Agah A, Doyle B, Drees M, Froehlich C, Kuok K. Robot soccer for the study of learning and coordination issues in multi-agent systems. Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, San Diego, US, 1998, 4, 3520–3525.

    Google Scholar 

  3. Hiraishi K. A petri-net-based model for the mathematical analysis of multiagent systems. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2001, 84, 2829–2837.

    Google Scholar 

  4. Hirata K, Takimoto T, Tamura K. Study on turning performance of a fish robot. First International Symposium on Aqua Bio-Mechanisms, Mitaka, Tokyo, Japan, 2000, 287–292.

    Google Scholar 

  5. Cho K, Park H, Kim S, Yang H, Park Y. Development of robot mimicking propulsion of a fish. Korean Society of Mechanical Engineers, 2007, 40–45.

    Google Scholar 

  6. Oyekan J, Gu D, Hu H. Visual imaging of invisible hazardous substances using bacterial inspiration. IEEE Transactions on Systems, Man and Cybernetics: Systems, 2013, 43, 1105–1115.

    Article  Google Scholar 

  7. Ryuh Y. Development of swimming mechanism and algorithm of fish-like underwater robot. Korea Robotics Society, 2009, 43–48.

    Google Scholar 

  8. Oyekan J, Hu H. A novel bio-controller for localising a pollution source in medium peclet environments. Journal of Bionic Engineering, 2010, 7, 345–353.

    Article  Google Scholar 

  9. Oyeken J, Lu B, Hu H. A creative computing approach to 3D robotic simulator for water pollution monitoring. International Journal of Creative Computing, 2013, 1, 92–119.

    Article  Google Scholar 

  10. Wang S, Chen L, Hu H, Xue Z, Pan W. Underwater localisation and environmental mapping using wireless robots. Journal of Wireless Personal Communications, 2013, 70, 1147–1170.

    Article  Google Scholar 

  11. Streitlien K, Triantafyllou G, Triantafyllou M. Efficient foil propulsion through vortex control. AIAA Journal, 1996, 34, 2315–2319.

    Article  MATH  Google Scholar 

  12. Kim Y. Robotic fish, the prince of ocean. Dong-A Science, 2005, 8, 54–59.

    Google Scholar 

  13. Jalbert J, Kashin S, Ayers J. A biologically-based undulatory lamprey-like auv. Proceedings of the Autonomous Vehicles in Mine Countermeasures Symposium. Montery, US, 1995, 39–52.

    Google Scholar 

  14. Guo S, Fukuda T, Kato N, Oguro K. Development of underwater micro-robot using ICPF actuator. Proceedings of IEEE International Conference on Robotics and Automation, Leuven, Belgium, 1998, 2, 1829–1834.

    Google Scholar 

  15. Yu J, Tan M, Wang S, Chen E. Development of a biomimetic robotic fish and its control algorithm. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2004, 34, 1798–1810.

    Article  Google Scholar 

  16. Liu J, Hu H. Biological inspiration: From carangiform fish to multi-joint robotic fish. Journal of Bionic Engineering, 2010, 7, 35–48.

    Article  Google Scholar 

  17. Kato N. Control performance in the horizontal plane of a fish robot with mechanical pectoral fins. IEEE Journal of Oceanic Engineering, 2000, 25, 121–129.

    Article  Google Scholar 

  18. Chen Z, Shatara S, Tan X. Modeling of biomimetic robotic fish propelled by an ionic polymer-metal composite caudal fin. IEEE/ASME Transactions on Mechatronics, 2010, 15, 448–459.

    Article  Google Scholar 

  19. Klein D, Gupta V, Morgansen K. Coordinated control of robotic fish using an underwater wireless network. Mazumder S K (Ed.), Wireless Networking Based Control, Springer, New York, US, 2011, 323–339.

    Chapter  Google Scholar 

  20. Polverino G, Abaid N, Kopman V, Macr S, Porfiri M. Zebrafish response to robotic fish: Preference experiments on isolated individuals and small shoals. Bioinspiration & Biomimetics, 2012, 7, 036019.

    Article  Google Scholar 

  21. Liao B, Li Z, Du R. Robot tadpole with a novel biomimetic wire-driven propulsor. IEEE International Conference on Robotics and Biomimetics (ROBIO), Guangzhou, China, 2012, 557–562.

    Chapter  Google Scholar 

  22. Reisig W. Petri nets and algebraic specifications. Theoretical Computer Science, 1991, 80, 1–34.

    Article  MathSciNet  MATH  Google Scholar 

  23. Ryuh Y, Moon J. Multi-agent control and implementation of bio-inspired underwater robots for mariculture monitoring and control. IEEE International Conference on Robotics and Biomimetics (ROBIO), Guangzhou, China, 2012, 777–783.

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Young-Sun Ryuh or Jindong Liu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ryuh, YS., Yang, GH., Liu, J. et al. A School of Robotic Fish for Mariculture Monitoring in the Sea Coast. J Bionic Eng 12, 37–46 (2015). https://doi.org/10.1016/S1672-6529(14)60098-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1016/S1672-6529(14)60098-6

Keywords

Navigation