4 papers
Pedagogical Alignment for Vision-Language-Action Models: A Comprehensive Framework for Data, Architecture, and Evaluation in Education
Unggi Lee, Jahyun Jeong, Sunyoung Shin +12
Science demonstrations are important for effective STEM education, yet teachers face challenges in conducting them safely and consistently across multiple occasions, where robotics…
GUARD: Toward a Compromise between Traditional Control and Learning for Safe Robot Systems
Johannes A. Gaus, Junheon Yoon, Woo-Jeong Baek +3
This paper presents the framework \textbf{GUARD} (\textbf{G}uided robot control via \textbf{U}ncertainty attribution and prob\textbf{A}bilistic kernel optimization for \textbf{R}is…
Investigating Robotaxi Crash Severity with Geographical Random Forest and the Urban Environment
Junfeng Jiao, Seung Gyu Baik, Seung Jun Choi +1
This paper quantitatively investigates the crash severity of Autonomous Vehicles (AVs) with spatially localized machine learning and macroscopic measures of the urban built environ…
AI-in-the-Loop Planning for Transportation Electrification: Case Studies from Austin, Texas
Seung Jun Choi
This study explores the integration of AI in transportation electrification planning in Austin, TX, focusing on the use of Geospatial AI (GeoAI), Generative AI (GenAI), and Large L…