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BAXTER: Bi-Modal Aerial-Terrestrial Hybrid Vehicle for Long-Endurance Versatile Mobility

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Experimental Robotics (ISER 2020)

Abstract

Unmanned aerial vehicles are rapidly evolving within the field of robotics. However, their performance is often limited by payload capacity, operational time, and robustness to impact and collision. These limitations of aerial vehicles become more acute for missions in challenging environments such as subterranean structures which may require extended autonomous operation in confined spaces. While software solutions for aerial robots are developing rapidly, improvements to hardware are critical to applying advanced planners and algorithms in large and dangerous environments where the short range and high susceptibility to collisions of most modern aerial robots make applications in realistic subterranean missions infeasible. To provide such hardware capabilities, one needs to design and implement a hardware solution that takes into the account the Size, Weight, and Power (SWaP) constraints. This work focuses on providing a robust and versatile hybrid platform that improves payload capacity, operation time, endurance, and versatility. The Bi-modal Aerial and Terrestrial hybrid vehicle (BAXTER) is a solution that provides two modes of operation, aerial and terrestrial. BAXTER employs two novel hardware mechanisms: the M-Suspension and the Decoupled Transmission which together provide resilience during landing and crashes and efficient terrestrial operation. Extensive flight tests were conducted to characterize the vehicle’s capabilities, including robustness and endurance. Additionally, we propose Agile Mode Transfer (AMT), a transition from aerial to terrestrial operation that seeks to minimize impulses during impact to the ground which is a quick and simple transition process that exploits BAXTER’s resilience to impact.

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Notes

  1. 1.

    One iteration, MODEL 3, was designed and not produced.

  2. 2.

    The X8 configuration is a planar configuration of 8 rotors, arranged in 4 coaxial pairs.

  3. 3.

    All-up refers to the maximum payload configuration which uses additional weights as a proxy for sensing and computation payloads.

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Acknowledgements

This work was supported by the Institute for Information & communications Technology Promotion (IITP), funded by the Korean government (MSIP) (Development of AI-powered Autonomous Drone for Complex Indoor Environment) under the guidance of Unmanned System Research Group of Korea Advanced Institute of Science and Technology (KAIST USRG). Further guidance from the Jet Propulsion Laboratory (JPL) of the National Aeronautics and Space Administration (NASA). We want to thank Hyunjee Ryu, Brian Kim, and Hanseob Lee of KAIST USRG, along with Brett Lopez and Team CoSTAR of JPL for various technical support and fruitful discussions.

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Choi, H.C. et al. (2021). BAXTER: Bi-Modal Aerial-Terrestrial Hybrid Vehicle for Long-Endurance Versatile Mobility. In: Siciliano, B., Laschi, C., Khatib, O. (eds) Experimental Robotics. ISER 2020. Springer Proceedings in Advanced Robotics, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-030-71151-1_6

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