Abstract
This paper explores the development of land-air amphibious robots that combine the advantages of ground robots and aerial robots. The land-air amphibious robot is a multi-modal robot that can move and work both on land and in the air. They have the ability to perform tasks in different environments, have a wide range of application scenarios and high research value, and have aroused the interest of scientific researchers and research institutions. Based on all the articles we investigated, this paper first summarizes the research status of land-air amphibious robots and divides land-air amphibious mobile robots into three categories: wheeled, tracked, and legged, according to different motion structures in land travel mode. The article analyzes the advantages and disadvantages of different land-air amphibious robots and discusses the technical problems and research difficulties in the research of land-air amphibious robots. In addition, the article also puts forward the vision for the future development of land-air amphibious robots and the further work that needs to be done.
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References
Yuh, J.: Design and control of autonomous underwater robots: a survey. Auton. Robot. 8, 7–24 (2000)
Raibert, M., Blankespoor, K., Nelson, G., Playter, R.: Bigdog, the rough-terrain quadruped robot. IFAC Proc. Vol. 41(2), 10822–10825 (2008)
Ortigoza, R.S., et al.: Wheeled mobile robots: a review. IEEE Lat. Am. Trans. 10(6), 2209–2217 (2012)
Moskvin, I., Lavrenov, R., Magid, E., Svinin, M.: Modelling a crawler robot using wheels as pseudo-tracks: model complexity vs performance. In: 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA), pp. 1–5. IEEE (2020)
Fahlstrom, P.G., Gleason, T.J., Sadraey, M.H.: Introduction to UAV Systems. John Wiley & Sons, Hoboken (2022)
Ren, K., Yu, J.: Research status of bionic amphibious robots: a review. Ocean Eng. 227, 108862 (2021)
Xu, X., Liu, B., Pan, D., Lu, X.: Research and application of amphibious bionic robots. J. Unmanned Undersea Syst. 31, 143–151 (2023)
Guo, Z., Li, T., Wang, M.: A survey on amphibious robots. In: 2018 37th Chinese Control Conference (CCC), pp. 5299–5304. IEEE (2018)
Parra-Vega, V., Sanchez, A., Izaguirre, C., Garcia, O., Ruiz-Sanchez, F.: Toward aerial grasping and manipulation with multiple UAVs. J. Intell. Rob. Syst. 70(1–4), 575–593 (2013)
Liu, Z., Song, M., Liu, Y., Bai, B.: Design, modeling and simulation of a reconfigurable land-air amphibious robot. In: 2021 IEEE 11th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), pp. 346–352. IEEE (2021)
Li, K., Han, B., Zhao, Y., Zhu, C.: Motion planning and simulation of combined land-air amphibious robot. In: IOP Conference Series: Materials Science and Engineering, vol. 428, p. 012057. IOP Publishing (2018)
Kossett, A., D’Sa, R., Purvey, J., Papanikolopoulos, N.: Design of an improved land/air miniature robot. In: 2010 IEEE International Conference on Robotics and Automation, pp. 632–637. IEEE (2010)
Meiri, N., Zarrouk, D.: Flying star, a hybrid crawling and flying sprawl tuned robot. In: 2019 International Conference on Robotics and Automation (ICRA), pp. 5302–5308. IEEE (2019)
Dudley, C.J., Woods, A.C., Leang, K.K.: A micro spherical rolling and flying robot. In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5863–5869. IEEE (2015)
Kuswadi, S., Tamara, M.N., Sahanas, D.A., Islami, G.I., Nugroho, S.: Adaptive morphology-based design of multi-locomotion flying and crawling robot “pens-flycrawl”. In: 2016 International Conference on Knowledge Creation and Intelligent Computing (KCIC), pp. 80–87. IEEE (2016)
McCluskey, B.: U.s. military to use ‘black night transformer’ drone to evacuate wounded warriors (video + pics) (2014). https://www.guns.com/news/2014/01/13/u-s-military-use-black-night-transformer-drone-evacuate-wounded-warriors-video
Jian, M.: Flight System Design of an Air-ground Vehicle. Master’s thesis, Beijing Institute of Technology (2015)
Latscha, S., et al.: Design of a hybrid exploration robot for air and land deployment (herald) for urban search and rescue applications. In: 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1868–1873. IEEE (2014)
Choi, C.: Pegasus robots can fly and drive (2021). https://insideunmannedsystems.com/pegasus-robots-can-fly-and-drive/
Kesteloo, H.: It’s a drone. it’s a tank. it’s the x-tankcopter! (2019). https://dronedj.com/2019/02/28/x-tankcopter/
European GNSS Agency: D3.1 a fully assembled hardware platform (2022). https://huuver.eu/wp-content/uploads/2022/01/D3.1_A-fully-assembled-hardware-platform.pdf
Ratsamee, P., et al.: A hybrid flying and walking robot for steel bridge inspection. In: 2016 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), pp. 62–67. IEEE (2016)
Pope, M.T., et al.: A multimodal robot for perching and climbing on vertical outdoor surfaces. IEEE Trans. Rob. 33(1), 38–48 (2016)
Shi, F., Zhao, M., Murooka, M., Okada, K., Inaba, M.: Aerial regrasping: pivoting with transformable multilink aerial robot. In: 2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 200–207. IEEE (2020)
Kim, K., Spieler, P., Lupu, E.S., Ramezani, A., Chung, S.J.: A bipedal walking robot that can fly, slackline, and skateboard. Sci. Rob. 6(59), eabf8136 (2021)
Zhang, E., Sun, R., Pang, Z., Liu, S.: Obstacle capability of an air-ground amphibious reconnaissance robot with a planetary wheel-leg type structure. Appl. Bionics Biomech. 2021, 1–12 (2021)
Zhu, Y., Guo, Z., Li, T., Wang, M.: Implementation and performance assessment of triphibious robot. In: 2019 IEEE International Conference on Mechatronics and Automation (ICMA), pp. 1514–1519 (2019). https://doi.org/10.1109/ICMA.2019.8816394
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Hu, B., Dong, Z., Zhang, L. (2024). Land-Air Amphibious Robots: A Survey. In: Fang, L., Pei, J., Zhai, G., Wang, R. (eds) Artificial Intelligence. CICAI 2023. Lecture Notes in Computer Science(), vol 14474. Springer, Singapore. https://doi.org/10.1007/978-981-99-9119-8_54
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