5 papers
Energy-Optimal Spatial Iterative Learning within a Virtual Tube
Chen Min, Shuli Lv, Pengda Mao +3
Due to the limited endurance of embedded energy sources such as lithium-polymer (LiPo) batteries, the flight duration and operational range of unmanned aerial vehicles (UAVs) are s…
Planar-Sector LOS Guidance for Interception of Agile Targets with Lifting-Wing Quadcopters
Linkai Liu, Kun Yang, Han Zou +4
Autonomous visual interception of agile aerial targets is challenging due to unpredictable target motion, limited sensing, and the strong coupling between target visibility and int…
An Efficient Real-Time Planning Method for Swarm Robotics Based on an Optimal Virtual Tube
Pengda Mao, Shuli Lv, Chen Min +2
Robot swarms navigating through unknown obstacle environments are an emerging research area that faces challenges. Performing tasks in such environments requires swarms to achieve…
Navigating Robot Swarm Through a Virtual Tube with Flow-Adaptive Distribution Control
Yongwei Zhang, Shuli Lv, Kairong Liu +3
With the rapid development of robot swarm technology and its diverse applications, navigating robot swarms through complex environments has emerged as a critical research direction…
Tube RRT*: Efficient Homotopic Path Planning for Swarm Robotics Passing-Through Large-Scale Obstacle Environments
Pengda Mao, Shuli Lv, Quan Quan
Recently, the concept of homotopic trajectory planning has emerged as a novel solution to navigation in large-scale obstacle environments for swarm robotics, offering a wide rangin…