3 citations · 4 across the 6 of their papers we have counts for
7 papers
LiteSC: Lightweight Semantic Communication for Robust Wireless Telesurgical Video Transmission
Zexin Deng, Zhenhui Yuan, Xiang Ji +2
Reliable laparoscopic video is essential for telesurgery, yet fixed-rate digital transmission can degrade abruptly under poor channel conditions. We propose LiteSC, a lightweight s…
TAMS: Task-Aware Multi-View Adaptive Streaming for Wireless Telerobotic Manipulation
Zexin Deng, Zhenhui Yuan, Lu Tian +2
Wireless telerobotic manipulation relies on timely multi-view video feedback, but the available uplink bandwidth is often limited and dynamic. This paper presents Task-Aware Multi-…
TeleSim: A Network-Aware Testbed and Benchmark Dataset for Telerobotic Applications
Zexin Deng, Zhenhui Yuan, Longhao Zou
Telerobotic technologies are becoming increasingly essential in fields such as remote surgery, nuclear decommissioning, and space exploration. Reliable datasets and testbeds are es…
Bridge to Real Environment with Hardware-in-the-loop for Wireless Artificial Intelligence Paradigms
Jeffrey Redondo, Nauman Aslam, Juan Zhang +1
Nowadays, many machine learning (ML) solutions to improve the wireless standard IEEE802.11p for Vehicular Adhoc Network (VANET) are commonly evaluated in the simulated world. At th…
Optimizing QoS in HD Map Updates: Cross-Layer Multi-Agent with Hierarchical and Independent Learning
Jeffrey Redondo, Nauman Aslam, Juan Zhang +1
The data collected by autonomous vehicle (AV) sensors such as LiDAR and cameras is crucial for creating high-definition (HD) maps to provide higher accuracy and enable a higher lev…
Coverage-aware and Reinforcement Learning Using Multi-agent Approach for HD Map QoS in a Realistic Environment
Jeffrey Redondo, Zhenhui Yuan, Nauman Aslam +1
One effective way to optimize the offloading process is by minimizing the transmission time. This is particularly true in a Vehicular Adhoc Network (VANET) where vehicles frequentl…
Enhancement of High-definition Map Update Service Through Coverage-aware and Reinforcement Learning
Jeffrey Redondo, Zhenhui Yuan, Nauman Aslam
High-definition (HD) Map systems will play a pivotal role in advancing autonomous driving to a higher level, thanks to the significant improvement over traditional two-dimensional…