Pedro Alarcon Granadeno

According to our database, Pedro Alarcon Granadeno authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Cognition Envelopes for Bounded AI Reasoning in Autonomous UAS Operations.

Pedro Alarcon Granadeno, Arturo Miguel Russell Bernal, Sofia Nelson, Demetrius Hernandez, Maureen Petterson, Michael Murphy, Walter J. Scheirer, Jane Cleland-Huang

CoRR, October, 2025

Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations.

Arturo Miguel Russell Bernal, Maureen Petterson, Pedro Alarcon Granadeno, Michael Murphy, James Mason, Jane Cleland-Huang

CoRR, August, 2025

Cognitive Guardrails for Open-World Decision Making in Autonomous Drone Swarms.

Jane Cleland-Huang, Pedro Alarcon Granadeno, Arturo Miguel Russell Bernal, Demetrius Hernandez, Michael Murphy, Maureen Petterson, Walter J. Scheirer

CoRR, May, 2025

Multi-source Plume Tracing via Multi-Agent Reinforcement Learning.

Pedro Alarcon Granadeno, Theodore Chambers, Jane Cleland-Huang

CoRR, May, 2025

Land-Coverage Aware Path-Planning for Multi-UAV Swarms in Search and Rescue Scenarios.

Pedro Alarcon Granadeno, Jane Cleland-Huang

CoRR, May, 2025

QUESTRL: A Q&A Framework for Designing Trustworthy Reinforcement Learning Systems.

Katherine R. Dearstyne, Pedro Alarcon Granadeno, Theodore Chambers, Jane Cleland-Huang

Proceedings of the 33rd IEEE International Requirements Engineering Conference, 2025

Evaluating Reinforcement Learning Safety and Trustworthiness in Cyber-Physical Systems.

Katherine R. Dearstyne, Pedro Alarcon Granadeno, Theodore Chambers, Jane Cleland-Huang

Proceedings of the 4th IEEE/ACM International Conference on AI Engineering, 2025

2024

An Environmentally Complex Requirement for Safe Separation Distance Between UAVs.

Pedro Alarcon Granadeno, Arturo Miguel Russell Bernal, Md Nafee Al Islam, Jane Cleland-Huang

Proceedings of the 32nd IEEE International Requirements Engineering Conference, 2024

2022

RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers.

Md Nafee Al Islam, Yihong Ma, Pedro Alarcon Granadeno, Nitesh V. Chawla, Jane Cleland-Huang

Proceedings of the 30th IEEE International Requirements Engineering Conference, 2022