Trevor Angle

Papers

Total Citations

H-Index

About

Trevor Angle is a researcher at the intersection of artificial intelligence, robotics, and education, with a focus on making AI systems more accessible and understandable for non-experts. His most notable contribution is the development of JEDAI, a system for skill-aligned explainable robot planning that synthesizes ideas from integrated task and motion planning and explainable AI. This work, published in 2021 and garnering 5 citations, is designed specifically for outreach and educational efforts, helping users create high-level, intuitive plans while ensuring transparency in the robot’s decision-making process. Angle’s research addresses a critical gap in AI: bridging the complexity of autonomous systems with human understanding. By prioritizing explainability and skill alignment, his work empowers students, educators, and broader audiences to engage with robotics without requiring deep technical expertise. His achievements reflect a commitment to democratizing AI education, making him a key figure in the growing field of human-centered robotics and AI literacy.