7 citations · 7 across the 7 of their papers we have counts for
7 papers
Modeling and Validation of Quality of Control for Edge-Offloaded Collaborative Navigation
Neelabhro Roy, Mikael Hammarling, Victor Nan Fernandez-Ayala +4
Collaborative control in complex environments is severely challenged by stochastic wireless delay and reliability variations, which can degrade navigation, tracking, and collision…
Machine-Learning-Based Classification of Radio Frequency Building Loss
Jiayi Tan, Neelabhro Roy, James Gross +2
Accurate modeling of outdoor-to-indoor (O2I) and indoor-to-indoor (I2I) signal loss is important for improving indoor wireless network performance in dense urban areas. Traditional…
AI and Vision based Autonomous Navigation of Nano-Drones in Partially-Known Environments
Mattia Sartori, Chetna Singhal, Neelabhro Roy +2
The miniaturisation of sensors and processors, the advancements in connected edge intelligence, and the exponential interest in Artificial Intelligence are boosting the affirmation…
Quality of Control based Resource Dimensioning for Collaborative Edge Robotics
Neelabhro Roy, Mani H. Dhullipalla, Gourav Prateek Sharma +2
With the increasing focus on flexible automation, which emphasizes systems capable of adapting to varied tasks and conditions, exploring future deployments of cloud and edge-based…
Active Queue Management with Data-Driven Delay Violation Probability Predictors
Samie Mostafavi, Neelabhro Roy, György Dán +1
The increasing demand for latency-sensitive applications has necessitated the development of sophisticated algorithms that efficiently manage packets with end-to-end delay targets…
ExPECA: An Experimental Platform for Trustworthy Edge Computing Applications
Samie Mostafavi, Vishnu Narayanan Moothedath, Stefan Rönngren +5
This paper presents ExPECA, an edge computing and wireless communication research testbed designed to tackle two pressing challenges: comprehensive end-to-end experimentation and h…
Semantically Optimized End-to-End Learning for Positional Telemetry in Vehicular Scenarios
Neelabhro Roy, Samie Mostafavi, James Gross
End-to-end learning for wireless communications has recently attracted much interest in the community, owing to the emergence of deep learning-based architectures for the physical…