当前位置: X-MOL 学术Prog. Aerosp. Sci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Cooperative motion planning and control for aerial-ground autonomous systems: Methods and applications
Progress in Aerospace Sciences ( IF 11.5 ) Pub Date : 2024-04-12 , DOI: 10.1016/j.paerosci.2024.101005
Runqi Chai , Yunlong Guo , Zongyu Zuo , Kaiyuan Chen , Hyo-Sang Shin , Antonios Tsourdos

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.

中文翻译:


空地自主系统的协同运动规划与控制:方法与应用



这篇综述文章深入分析了空地自主系统中的协作运动规划和控制,强调了它们的方法和应用。它探索了无人机(UAV)和无人地面车辆(UGV)的集成,重点关注它们的同步规划和控制机制,以实现在灾害响应、环境监测和城市监控等各种环境中高效执行任务。本文讨论了运动规划策略和控制机制,同时还强调了该领域的挑战和未来趋势。它作为一种综合资源,揭示了这些系统的潜力和局限性,从而为自主系统领域的研究人员和从业者提供了宝贵的见解。
更新日期:2024-04-12
down
wechat
bug