3 papers
cs.RO2025
LCMF: Lightweight Cross-Modality Mambaformer for Embodied Robotics VQA
Zeyi Kang, Liang He, Yanxin Zhang +2
Multimodal semantic learning plays a critical role in embodied intelligence, especially when robots perceive their surroundings, understand human instructions, and make intelligent…
cs.RO2025
M3ET: Efficient Vision-Language Learning for Robotics based on Multimodal Mamba-Enhanced Transformer
Yanxin Zhang, Liang He, Zeyi Kang +2
In recent years, multimodal learning has become essential in robotic vision and information fusion, especially for understanding human behavior in complex environments. However, cu…
cs.MA2025
AGCo-MATA: Air-Ground Collaborative Multi-Agent Task Allocation in Mobile Crowdsensing
Tianhao Shao, Bohan Feng, Yingying Zhou +2
Rapid progress in intelligent unmanned systems has presented new opportunities for mobile crowd sensing (MCS). Today, heterogeneous air-ground collaborative multi-agent framework,…