Cooperative motion planning and control for aerial-ground autonomous systems: Methods and applications

Runqi Chai, Yunlong Guo, Zongyu Zuo, Kaiyuan Chen*, Hyo Sang Shin, Antonios Tsourdos

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

11 Citations (Scopus)

Abstract

This review article offers an in-depth analysis of cooperative motion planning and control in aerial-ground autonomous systems, emphasizing their methods and applications. It explores the integration of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs), focusing on their synchronized planning and control mechanisms that enable efficient task execution in various settings, such as disaster response, environmental monitoring, and urban surveillance. The article addresses the motion planning strategies, and control mechanisms, while also highlighting the challenges and future trends in this domain. It serves as a comprehensive resource, shedding light on both the potentials and limitations of these systems, thereby providing valuable insights for researchers and practitioners in the field of autonomous systems.

Original languageEnglish
Article number101005
JournalProgress in Aerospace Sciences
Volume146
DOIs
Publication statusPublished - 1 Apr 2024

Keywords

  • Aerial-ground
  • Autonomous system
  • Cooperative motion planning and control
  • Unmanned aerial vehicle
  • Unmanned ground vehicles

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