1 citations · 1 across the 6 of their papers we have counts for
7 papers
Safety Assurance for Quadrotor Kinodynamic Motion Planning
Theodoros Tavoulareas, Marzia Cescon
Autonomous drones have gained considerable attention for applications in real-world scenarios, such as search and rescue, inspection, and delivery. As their use becomes ever more p…
An Application of Model Reference Adaptive Control for Multi-Agent Synchronization in Drone Networks
Miguel F. Arevalo-Castiblanco, Yejin Wi, Marzia Cescon and +1
This paper presents the application of a Distributed Model Reference Adaptive Control (DMRAC) strategy for robust multi-agent synchronization of a network of drones. The proposed a…
Testing Spacecraft Formation Flying with Crazyflie Drones as Satellite Surrogates
Arturo de la Barcena, Collin Rhodes, John McCarroll +2
As the space domain becomes increasingly congested, autonomy is proposed as one approach to enable small numbers of human ground operators to manage large constellations of satelli…
Model Predictive Control (MPC) of an Artificial Pancreas with Data-Driven Learning of Multi-Step-Ahead Blood Glucose Predictors
Eleonora Maria Aiello, Mehrad Jaloli, Marzia Cescon
We present the design and \textit{in-silico} evaluation of a closed-loop insulin delivery algorithm to treat type 1 diabetes (T1D) consisting in a data-driven multi-step-ahead bloo…
Basal-Bolus Advisor for Type 1 Diabetes (T1D) Patients Using Multi-Agent Reinforcement Learning (RL) Methodology
Mehrad Jaloli, Marzia Cescon
This paper presents a novel multi-agent reinforcement learning (RL) approach for personalized glucose control in individuals with type 1 diabetes (T1D). The method employs a closed…
Modeling Physical Activity Impact on Glucose Dynamics in People with Type 1 Diabetes for a Fully Automated Artificial Pancreas
Mehrad Jaloli, Marzia Cescon
In this paper, models of the blood glucose (BG) dynamics in people with Type 1 diabetes (T1D) in response to moderate intensity aerobic activity are derived from physiology-based f…
Neurological Status Classification Using Convolutional Neural Network
Mehrad Jaloli, Divya Choudhary, Marzia Cescon
In this study we show that a Convolutional Neural Network (CNN) model is able to accuratelydiscriminate between 4 different phases of neurological status in a non-Electroencephalog…