3 citations · 5 across the 7 of their papers we have counts for
7 papers
A Model for Mediating Multi-Modal Human Intent into Safe Maneuvers for UAVs
Sofia Nelson, Dalal Alrajeh, Pedro Antonio Alarcon Granadeno +1
Direct human interaction with autonomous UAV systems can be enabled through modalities such as speech, gestures, and graphical interfaces. However, interpreting such inputs as dire…
Cognition Envelopes for Bounded Decision Making in Autonomous UAS Operations
Pedro Antonio Alarcon Granadeno, Arturo Miguel Bernal Russell, Sofia Nelson +5
Cyber-physical systems increasingly rely on foundational models, such as Large Language Models (LLMs) and Vision-Language Models (VLMs) to increase autonomy through enhanced percep…
Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations
Arturo Miguel Russell Bernal, Maureen Petterson, Pedro Antonio Alarcon Granadeno +3
With the increasing deployment of small Unmanned Aircraft Systems (sUAS) in unfamiliar and complex environments, Environmental Digital Twins (EDT) that comprise weather, airspace,…
Cognitive Guardrails for Open-World Decision Making in Autonomous Drone Swarms
Jane Cleland-Huang, Pedro Antonio Alarcon Granadeno, Arturo Miguel Russell Bernal +4
Small Uncrewed Aerial Systems (sUAS) are increasingly deployed as autonomous swarms in search-and-rescue and other disaster-response scenarios. In these settings, they use computer…
Multi-source Plume Tracing via Multi-Agent Reinforcement Learning
Pedro Antonio Alarcon Granadeno, Theodore Chambers, Jane Cleland-Huang
Industrial catastrophes like the Bhopal disaster (1984) and the Aliso Canyon gas leak (2015) demonstrate the urgent need for rapid and reliable plume tracing algorithms to protect…
Coverage Path Planning for Holonomic UAVs via Uniaxial-Feasible, Gap-Severity Guided Decomposition
Pedro Antonio Alarcon Granadeno, Jane Cleland-Huang
Modern coverage path planning (CPP) for holonomic UAVs in emergency response must contend with diverse environments where regions of interest (ROIs) often take the form of highly i…
Evaluating Reinforcement Learning Safety and Trustworthiness in Cyber-Physical Systems
Katherine Dearstyne, Pedro, Alarcon Granadeno +2
Cyber-Physical Systems (CPS) often leverage Reinforcement Learning (RL) techniques to adapt dynamically to changing environments and optimize performance. However, it is challengin…