Motion Planning for HyTAQs: A Topology-guided Unified NMPC Approach
Tong Wu, Yimin Zhu, Lixian Zhang, Jianan Yang, Yihang Ding
Abstract
In this study, a topology-guided unified nonlinear model predictive control (NMPC) approach is proposed for autonomous navigation of a class of Hybrid Terrestrial and Aerial Quadrotors (HyTAQs) in unknown environments. The approach can fully exploit the hybrid terrestrial-aerial locomotion of the vehicle and as such ensure a high navigation efficiency. A unified terrestrial-aerial NMPC is first formulated with a type of complementarity constraints involving the hybrid dynamics, together with the collision avoidance constraints for safety. Further, a topological roadmap with both terrestrial and aerial paths is leveraged to guide the kinodynamic path searching and thus the unified NMPC. Then, a complete and distinctive navigation framework is established and validated on our self-developed HyTAQ. Compared with the existing unified terrestrial-aerial planning methods, ours takes the vehicle dynamics into account for the first attempt and achieves a more reasonable decision of modes switching. Experimental results are presented to demonstrate the effectiveness and superiority of the proposed approach.
BibTeX
@inproceedings{iros2022_motionplanningfo,
title = {Motion Planning for HyTAQs: A Topology-guided Unified NMPC Approach},
author = {Tong Wu and Yimin Zhu and Lixian Zhang and Jianan Yang and Yihang Ding},
booktitle = {IROS 2022},
year = {2022}
}