2 citations · 2 across the 8 of their papers we have counts for
8 papers
Coupled Control and Wireless World Models for Resilient Remote Robotic Control
H. P. Madushanka, Sumudu Samarakoon, Mehdi Bennis
Remote robotic systems operating over wireless networks must maintain reliable control despite limited communication resources, changing channel conditions, and environmental distu…
Joint Age-of-Latent and Resource Minimization for Wireless Multi-Camera Perception With Temporal Window Selection
Chih-Yu Lin, Wanjiun Liao, Sumudu Samarakoon +1
Multi-camera wireless perception requires a base station (BS) to maintain timely and reliable latent beliefs from distributed cameras under limited uplink resources. Conventional A…
Semantic Communication meets System 2 ML: How Abstraction, Compositionality and Emergent Languages Shape Intelligence
Mehdi Bennis, Salem Lahlou
The trajectories of 6G and AI are set for a creative collision. However, current visions for 6G remain largely incremental evolutions of 5G, while progress in AI is hampered by bri…
Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation
Yongjun Kim, Jihong Park, Mehdi Bennis +1
Neural network-based medium access control (MAC) protocol models (NPMs) improve goodput through site-specific operations but are vulnerable to shifts from their training network en…
Semantic Communication and Control Co-Design for Multi-Objective Distinct Dynamics
Abanoub M. Girgis, Hyowoon Seo, Mehdi Bennis
This letter introduces a machine-learning approach to learning the semantic dynamics of correlated systems with different control rules and dynamics. By leveraging the Koopman oper…
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix
Seungeun Oh, Sihun Baek, Jihong Park +5
In computer vision, the vision transformer (ViT) has increasingly superseded the convolutional neural network (CNN) for improved accuracy and robustness. However, ViT's large model…
Maze Discovery using Multiple Robots via Federated Learning
Kalpana Ranasinghe, H. P. Madushanka, Rafaela Scaciota +2
This work presents a use case of federated learning (FL) applied to discovering a maze with LiDAR sensors-equipped robots. Goal here is to train classification models to accurately…
Real-Time Remote Control via VR over Limited Wireless Connectivity
H. P. Madushanka, Rafaela Scaciota, Sumudu Samarakoon +1
This work introduces a solution to enhance human-robot interaction over limited wireless connectivity. The goal is toenable remote control of a robot through a virtual reality (VR)…