6 citations · 6 across the 3 of their papers we have counts for
4 papers
V-CORE: Temporally Consistent Video Understanding for Video-LLM
Zhengjian Kang, Qi Chen, Rui Liu +4
Recent Video Large Language Models (Video-LLMs) have shown strong multimodal reasoning capabilities, yet remain challenged by video understanding tasks that require consistent temp…
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…
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…
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…