Collaborative Autonomy Meets the Real World

David Koelle AUVSI XPONENTIAL 2024, San Diego, CO (April 2024) The physical world is being increasingly served by autonomy, including self-driving taxi cabs, autonomous mining vehicles, and robots in warehouses and hospitals. While this is certainly a significant step in technical advancement, these robots and vehicles all operate independently. The ability for robots to work […]

A Joint, Adaptive, Robust Visualization and Interaction System for AI-Enabled, Symbiotic Cyber-Physical System Design

Ryan Kilgore, David Koelle, Matthew Miller, Amanda Warren, Gabrielle Loeff and Nicholas Alico Proceedings of the 26th International Conference on Human-Computer Interaction (HCII 2024), Washington, DC (July 2024). A cyber-physical system (CPS) is a collection of physical and computer components that are integrated with each other to operate a process safely and efficiently. Artificial intelligence […]

Enabling Human-centered Machine Translation Using Concept-based Large Language Model Prompting and Translation Memory

Ming Qian Proceedings of the 26th International Conference on Human-Computer Interaction (HCII 2024), Washington, DC (July 2024). This study evaluates a novel human-machine collaborative machine  translation workflow, enhanced by Large Language Model features, including pre-editing instructions, interactive concept-based post-editing, and the archiving  of concepts in post-editing and translation memories. By implementing GPT-4  prompts for concept-based […]

Hybrid-AI Approach to Health Monitoring of Vehicle Control System

Kenneth Lu1, Margarita Hiett1, Ernest Vincent Cross1, Michael Reposa1, Aaron Kain2, Erik Davis2 Proceedings of The 70th Annual Reliability & Maintainability Symposium (RAMS®) (January 2024) Advances in Artificial Intelligence and Machine Learning AI/ML have demonstrated enormous potential in improving and optimizing condition-based maintenance processes. In this paper, we present novel research that leverages the power […]