3 citations · 6 across the 16 of their papers we have counts for
20 papers · 1 filter
From Multi-Fisheye Sensing to Panoramic Perception: A Parallax-Aware Onboard Platform for Ultra-Low-Altitude UAVs
Dun Dai, Ze Lu, Cheng He +2
Ultra-low-altitude unmanned aerial vehicles (UAVs) require surround vision near buildings, vegetation, and other obstacles. We present a parallax-aware onboard platform that conver…
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…
Stabilization Learning: A Paradigm Transition Bridging Control Theory and Machine Learning
Quan Quan
Stabilization learning is an interdisciplinary paradigm that bridges control theory and machine learning. Its core idea is to enable systems to adjust their policies under perturba…
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…
Learning to Adapt: Reptile-D-Learning for Robust and Efficient Control Under Parametric Uncertainty
Haipeng Cao, Zhaolong Shen, Quan Quan
Learning-based Lyapunov Control (LLC) provides formal stability guarantees for nonlinear systems, but its validity relies heavily on accurate system models. Parameter variations an…
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…