4 citations · 4 across the 1 of their papers we have counts for
3 papers
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
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.CV2024★ 4 cited
Enhanced Self-Checkout System for Retail Based on Improved YOLOv10
Lianghao Tan, Shubing Liu, Jing Gao +3
With the rapid advancement of deep learning technologies, computer vision has shown immense potential in retail automation. This paper presents a novel self-checkout system for ret…