9 papers
Memory in the Sky: Low-Altitude Question Answering with Multi-Agent Memory Aggregation
Chengyang Li, Yujie Wan, Shuai Wang +6
This paper studies low-altitude question answering (LAQA), in which distributed unmanned aerial vehicle (UAV) memories are aggregated at a ground server to answer questions about o…
Memory-Native Non-Terrestrial Networks for Embodied Intelligence
Chengyang Li, Yikun Wang, Jiahui He +6
Non-terrestrial networks (NTN) provide ubiquitous connectivity for embodied intelligence (EI), enabling robots in the wilderness to leverage cloud resources or report critical info…
Low-Altitude Fluid Antenna Network with Multi-Agent Reinforcement Learning
Tong Zhang, Yanfei Su, Shuai Wang +3
Low-altitude wireless networks (LAWNs) integrate terrestrial and aerial platforms to provide ubiquitous communication, sensing, and localization services for unmanned aerial vehicl…
Long-Context Modeling via GSS-Transformer Hybrid Architecture with Learnable Mixing
Kuzey Torlak, Hüseyin Arda Arslan, Anıl Dervişoğlu +2
Modeling long-range dependencies remains a central challenge in natural language processing. Transformer architectures achieve strong performance via self-attention but scale quadr…
Health-Conditioned Vision-Language-Action Models for Malfunction-Aware Robot Control
Hüseyin Arslan, Özgür Erkent
Research on Vision Language Action (VLA) models has been increasing rapidly in recent years. Although some of them focus on detecting, preventing, and recovering from task failures…
Memory Centric Power Allocation for Multi-Agent Embodied Question Answering
Chengyang Li, Shuai Wang, Kejiang Ye +5
This paper considers multi-agent embodied question answering (MA-EQA), which enables robot teams to answer queries based on their long-horizon observations. In contrast to existing…
LAGS: Low-Altitude Gaussian Splatting with Groupwise Heterogeneous Graph Learning
Yikun Wang, Yujie Wan, Wei Zuo +4
Low-altitude Gaussian splatting (LAGS) facilitates 3D scene reconstruction by aggregating aerial images from distributed drones. However, as LAGS prioritizes maximizing reconstruct…
Planning Oriented Integrated Sensing and Communication
Xibin Jin, Guoliang Li, Shuai Wang +5
Integrated sensing and communication (ISAC) enables simultaneous localization, environment perception, and data exchange for connected autonomous vehicles. However, most existing I…
STT-GS: Sample-Then-Transmit Edge Gaussian Splatting with Joint Client Selection and Power Control
Zhen Li, Xibin Jin, Guoliang Li +5
Edge Gaussian splatting (EGS), which aggregates data from distributed clients (e.g., drones) and trains a global GS model at the edge (e.g., ground server), is an emerging paradigm…