46 citations · 71 across the 6 of their papers we have counts for
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cs.RO2026
VIP: Variation-based Iterative-learning Planning for Robotic Navigation
Shuli Lv, Pengda Mao, Chen Min +4
Over the past decade, autonomous robotic systems have been increasingly deployed in applications such as surveying, search and rescue, and last-mile delivery. These applications re…
cs.RO2026
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…
cs.RO2026
Virtual-Tube-Based Cooperative Transport Control for Multi-UAV Systems in Constrained Environments
Runxiao Liu, Pengda Mao, Xiangli Le +3
This paper proposes a novel control framework for cooperative transportation of cable-suspended loads by multiple unmanned aerial vehicles (UAVs) operating in constrained environme…