1 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Contraction based stabilization of nonlinear singularly perturbed systems and application to high gain feedback
Madan Mohan Rayguru, I N Kar
Recent development of contraction theory based analysis of singularly perturbed system has opened the door for inspecting differential behavior of multi time-scale systems. In this…
A Contraction Theory Approach for Analysis of Performance Recovery in Dynamic Surface Control
M M Rayguru, I N kar
Dynamic surface control (DSC) method uses high gain filters to avoid the "explosion of complexity" issue inherent in backstepping based controller designs. As a result, the closed…