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Power generation performance of a spherical robot with a pendulum in an amphibious environment

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Abstract

The energy requirements of robots have received extensive attention, and the lack of energy will seriously limit the working ability of robots. This paper proposes a method of capturing energy from an amphibious environment for a spherical robot using a pendulum. The pendulum movement is analyzed during amphibious movement, and a feasible scheme is proposed to use this pendulum to capture environmental energy and convert mechanical energy into electrical energy. A mathematical model of swing power generation is established based on the pendulum dynamic equation and voltage balance equation. A physics experiment platform and virtual experimental platform are built to analyze the power generation performance. Furthermore, power generation mathematical models are established for a spherical robot rolling on a slope and floating in water, and the power generation performance is analyzed and summarized under different conditions. The results show that the proposed power generation method and scheme can effectively supply energy to a spherical robot, enhance the endurance of movement in an amphibious environment and provide theoretical guidance for the development of a physical prototype of the new generation of amphibious spherical robots.

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Availability of data and materials

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

References

  • Antonelli, G., Chiaverini, S., Sarkar, N., et al. (2001). Adaptive control of an autonomous underwater vehicle: Experimental results on ODIN. IEEE Transactions on Control Systems Technology, 9(5), 756–765.

    Article  Google Scholar 

  • Arslan, E., & Aka, K. (2019). A design methodology for cuttlefish shaped amphibious robot. European Journal of Science and Technology, 2019, 214–224.

    Article  Google Scholar 

  • Barbaro, G. (2007). A new expression for the direct calculation of the maximum wave force on vertical cylinders. Ocean Engineering, 34, 1706–1710.

    Article  Google Scholar 

  • Chao, Y. (2016). Autonomous underwater vehicles and sensors powered by ocean thermal energy. Oceans IEEE, 1–4.

  • Cristini, L., Lampitt, R. S., Cardin, V., et al. (2016). Cost and value of multidisciplinary fixed-point ocean observatories. Marine Policy, 71, 138–146.

    Article  Google Scholar 

  • Dejong, B. P., Karadogan, E., Yelamarthi, K., et al. (2017). Design and analysis of a four-pendulum omnidirectional spherical robot. Journal of Intelligent and Robotic Systems, 86(1), 3–15.

    Article  Google Scholar 

  • Delmerico, J., Mintchev, S., Giusti, A., et al. (2019). The current state and future outlook of rescue robotics. Journal of Robotic Systems, 36(7), 1171–1191.

    Google Scholar 

  • Dong, H., Wu, Z., Tan, M., et al. (2020). Hydrodynamic analysis and verification of an innovative whale shark-like underwater glider. Journal of Bionic Engineering, 17(1), 123–133.

    Article  Google Scholar 

  • Fenucci, D., Caffaz, A., Costanzi, R., et al. (2016). WAVE: A wave energy recovery module for long endurance gliders and AUVs. Oceans IEEE, 1–5.

  • Godin, M. A., Zhang, Y., Ryan, J. P., et al. (2011). Phytoplankton bloom patch center localization by the Tethys Autonomous Underwater Vehicle. Oceans IEEE 1–5.

  • Han, J., Kang, H. J., & Kwon, G. H. (2019). An ecological approach to an intelligent healthscape for a medical service robot. The Japanese Journal of Ergonomics, 55(Supplement), 1H3-7.

    Article  Google Scholar 

  • Kaznov, V., & Seeman, M. (2010) Outdoor navigation with a spherical amphibious robot. In International Conference on intelligent robots and systems, IEEE (pp. 5113–5118).

  • Kim, J., Ryu, Y., Jiang, C., et al. (2019). Continuous observation of vegetation canopy dynamics using an integrated low-cost, near-surface remote sensing system. Agricultural and Forest Meteorology, 264, 164–177.

    Article  Google Scholar 

  • Li, M., Guo, S., Hirata, H., et al. (2015). Design and performance evaluation of an amphibious spherical robot. Robotics & Autonomous Systems, 64, 21–34.

    Article  Google Scholar 

  • Li, Y., Sun, H., Chu, M., Zhang, Y., Jia, Q., & Lan, X. (2014a). Experiment, simulation and analysis on coupling hydrodynamic forces under key parameters for a spherical underwater exploration robot. Journal of Vibroengineering, 16(6), 3014–3025.

    Google Scholar 

  • Li, Y., Sun, H., Zhang, Y., Chu, M., Jia, Q., & Lan, X. (2014b). Characteristic analysis and fluctuation control for a underactuated spherical underwater robot. Journal of Vibroengineering, 16(1), 42–56.

    Google Scholar 

  • Li, Y., Yang, M., Sun, H., & Liu, Z. (2017). Fluctuation characteristics and rolling control for an underactuated spherical underwater exploration robot. Journal of Vibroengineering, 19(2), 1050–1061.

    Article  Google Scholar 

  • Meinig, C., Lawrence-Slavas, N., Jenkins, R., et al. (2016). The use of Saildrones to examine spring conditions in the Bering Sea: Vehicle specification and mission performance. Oceans IEEE, 1–7.

  • Padron, A. M., Nebylov, A., & Knyazhsky, A. (2017). Verification of the precise orbital holding of small satellite formation for remote control of robots on a planet surface. In IEEE international workshop on metrology for aerospace. IEEE (pp. 360–363).

  • Paschal, T., Bell, M. A., Sperry, J., et al. (2019). Design, fabrication, and characterization of an untethered amphibious sea urchin-inspired robot. IEEE Robotics and Automation Letters, 4(4), 3348–3354.

    Article  Google Scholar 

  • Paul, D., et al. (2019). Unsupervised human activity analysis for intelligent mobile robots: ScienceDirect. Artificial Intelligence, 270, 67–92.

    Article  Google Scholar 

  • Petillot, Y. R., Antonelli, G., Casalino, G., et al. (2019). Underwater robots : From remotely operated vehicles to intervention autonomous underwater vehicles. IEEE Robotics & Automation Magazine, PP(99), 1–1.

    Google Scholar 

  • Roozegar, M., & Mahjoob, M. J. (2017). Modelling and control of a non-holonomic pendulum-driven spherical robot moving on an inclined plane: Simulation and experimental results. Iet Control Theory and Applications, 11(4), 541–549.

    Article  MathSciNet  Google Scholar 

  • Townsend, N. C. (2016). Self-powered autonomous underwater vehicles: Results from a gyroscopic energy scavenging prototype. Iet Renewable Power Generation, 10(8), 1078–1086.

    Article  Google Scholar 

  • Wang, Y., Han, L., Liu, W., et al. (2019). Study on wavelet neural network based anomaly detection in ocean observing data series. Ocean Engineering, 186, 1061291–1061299.

    Google Scholar 

  • Watson, S. A., & Green, P. N. (2011). A de-coupled vertical controller for micro-autonomous underwater vehicles (μAUVs). In Proceedings of the 2011 IEEE international conference on mechatronics and automation, Beijing (pp. 561–566).

  • Xichuan, L. I. N., & Shuxiang, G. U. O. (2012). Development of a spherical underwater robot equipped with multiple vectored water-jet-based thrusters. Journal of Intelligent and Robotic Systems., 67(3), 307–321.

    Google Scholar 

  • Xing, H., Guo, S., Shi, L., et al. (2018). Hybrid locomotion evaluation for a novel amphibious spherical robot. Applied Sciences, 8(2), 156.

    Article  Google Scholar 

  • Yamamoto, I., Aoki, T., Tsukioka, S., et al. (2004). Fuel cell system of AUV “Urashima.” Oceans IEEE, 3, 1732–1737.

    Google Scholar 

  • Yansheng, Li., Meimei, Y., Hanxu, S., et al. (2018). A novel amphibious spherical robot equipped with flywheel, pendulum, and propeller. Journal of Intelligent & Robotic Systems, 89(3–4), 485–501.

    Google Scholar 

  • Yu, B., et al. (2019). Remote sensing data acquisition system based on FPGA sampling time variable. Journal of Physics: Conference Series, 1176(6), 62042–62042.

    Google Scholar 

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Acknowledgements

This research is supported by the National Natural Science Foundation of China (61803058), and China Postdoctoral Science Foundation (2021MD703939).

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Authors and Affiliations

  1. School of Advanced Manufacturing Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

    Yansheng Li, Meimei Yang, Bo Wei & Yi Zhang

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  1. Yansheng Li
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  2. Meimei Yang
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  3. Bo Wei
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  4. Yi Zhang
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Correspondence to Meimei Yang.

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This manuscript has not been published, simultaneously submitted or already accepted for publication elsewhere. All authors have read and approved the manuscript. There is no conflict of interest related to individual authors’ commitments and any project support. All acknowledged persons have read and given permission to be named. Yansheng Li has nothing to disclose.

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Li, Y., Yang, M., Wei, B. et al. Power generation performance of a spherical robot with a pendulum in an amphibious environment. Auton Robot 46, 861–877 (2022). https://doi.org/10.1007/s10514-022-10057-6

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