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TIE: An Autonomous and Adaptive Terrestrial-Aerial Quadrotor

2021-09-10 07:19:00
Ruibin Zhang, Yuze Wu, Lixian Zhang, Chao Xu, Fei Gao

Abstract

This letter presents a fully autonomous robot system that possesses both terrestrial and aerial mobility. We firstly develop a lightweight terrestrial-aerial quadrotor that carries sufficient sensing and computing resources. It incorporates both the high mobility of unmanned aerial vehicles and the long endurance of unmanned ground vehicles. An adaptive navigation framework is then proposed that brings complete autonomy to it. In this framework, a hierarchical motion planner is proposed to generate safe and low-power terrestrial-aerial trajectories in unknown environments. Moreover, we present a unified motion controller which dynamically adjusts energy consumption in terrestrial locomotion. Extensive realworld experiments and benchmark comparisons validate the robustness and outstanding performance of the proposed system. During the tests, it safely traverses complex environments with terrestrial aerial integrated mobility, and achieves 7 times energy savings in terrestrial locomotion. Finally, we will release our code and hardware configuration as an open-source package.

Abstract (translated)

URL

https://arxiv.org/abs/2109.04706

PDF

https://arxiv.org/pdf/2109.04706.pdf


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