3 papers
cs.NI2026
DRASTIC: A Dynamic Resource Allocation Framework over 6G Network Slicing in Task-aware Closed-Loop Tactile Internet Applications
Narges Golmohammadi, Madan Mohan Rayguru, Sabur Baidya
This work proposes a novel learning driven bandwidth optimization framework called DRASTIC (Dynamic Resource Allocation for Slicing in Task aware Closed loop tactile Internet appli…
cs.NI2025
A Hierarchical Optimization Framework Using Deep Reinforcement Learning for Task-Driven Bandwidth Allocation in 5G Teleoperation
Narges Golmohammadi, Madan Mohan Rayguru, Sabur Baidya
The evolution of 5G wireless technology has revolutionized connectivity, enabling a diverse range of applications. Among these are critical use cases such as real time teleoperatio…
eess.AS2025
Personalized Speech Emotion Recognition in Human-Robot Interaction using Vision Transformers
Ruchik Mishra, Andrew Frye, Madan Mohan Rayguru +1
Emotions are an essential element in verbal communication, so understanding individuals' affect during a human-robot interaction (HRI) becomes imperative. This paper investigates t…