7 papers
LUCID: An Agentic AI Framework on Digital-Twin in the Loop for QoS-Guaranteeing Robotic Control
Hyeonsu Lyu, Minwoo Kim, Sehyun Ryu +1
Cloud robotics relies on the timely uplink of high-volume sensing streams, yet dynamic environments continually shift the feasible combinations of trajectories, active-robot count,…
End-to-End Mobility-Aware Multi-RIS Optimization via Blockage Detection and Closed-Form Riemannian Updates
Sehyun Ryu, Seungmin Choi, Hyun Jong Yang +1
Millimeter-wave (mmWave) multi-user MIMO systems are highly susceptible to dynamic blockages, and reconfigurable intelligent surfaces (RIS) have been introduced as a remedy. Howeve…
Temporal Channel Estimation for Generalized CSI Feedback
Minwoo Kim, Hyeonsu Lyu, Sehyun Ryu +2
Efficient Channel State Information (CSI) feedback is indispensable for frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems. Existing compressed s…
Self-Supervised Pretraining for Transmission-Relevant MIMO CSI Representation
Sehyun Ryu, Yumin Kim, Minjae Lee +2
Self-supervised representation learning from unlabeled channel state information (CSI) can reduce labeling and adaptation overhead in learning-based multiple-input multiple-output…
Advancing Multi-Robot Networks via MLLM-Driven Sensing, Communication, and Computation: A Comprehensive Survey
Hyun Jong Yang, Howon Lee, Kyuhong Shim +10
Imagine advanced humanoid robots, powered by multimodal large language models (MLLMs), coordinating missions across industries like warehouse logistics, manufacturing, and safety r…
Blockage-Aware Multi-RIS Sensing and Optimization for mmWave Smart Radio Environments
Sehyun Ryu, Hyun Jong Yang
Millimeter-wave (mmWave) multi-user MIMO systems are highly vulnerable to blockage, and reconfigurable intelligent surfaces (RIS) have been proposed as a remedy. However, RIS links…