6 citations · 6 across the 3 of their papers we have counts for
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cs.RO2024
Optimized Coordination Strategy for Multi-Aerospace Systems in Pick-and-Place Tasks By Deep Neural Network
Ye Zhang, Linyue Chu, Letian Xu +3
In this paper, we present an advanced strategy for the coordinated control of a multi-agent aerospace system, utilizing Deep Neural Networks (DNNs) within a reinforcement learning…
cs.RO2024★ 6 cited
DRAL: Deep Reinforcement Adaptive Learning for Multi-UAVs Navigation in Unknown Indoor Environment
Kangtong Mo, Linyue Chu, Xingyu Zhang +4
Autonomous indoor navigation of UAVs presents numerous challenges, primarily due to the limited precision of GPS in enclosed environments. Additionally, UAVs' limited capacity to c…
cs.RO2024
Self-Adaptive Robust Motion Planning for High DoF Robot Manipulator using Deep MPC
Ye Zhang, Kangtong Mo, Fangzhou Shen +4
In contemporary control theory, self-adaptive methodologies are highly esteemed for their inherent flexibility and robustness in managing modeling uncertainties. Particularly, robu…