Papers
1
Total Citations
10
H-Index
1
About
Toria Yan is a pioneering researcher at the intersection of robotics, education, and augmented reality (AR), whose work explores how immersive technologies can democratize access to complex technical fields. Her most cited paper, "Exposing Robot Learning to Students in Augmented Reality Experience" (2018), has garnered 10 citations and stands as a foundational contribution to the emerging field of AR-assisted robotics education. In this work, Yan demonstrated how AR interfaces can lower the barrier to entry for students learning robot programming and control, allowing them to visualize and interact with abstract robotic concepts in real-time. By bridging the gap between theoretical algorithms and tangible, visual feedback, her research has provided educators with a powerful tool to make robot learning more intuitive and engaging. Yan’s contributions are particularly notable for their focus on inclusivity and accessibility, aiming to inspire a broader, more diverse generation of roboticists. Her work continues to influence the design of interactive learning environments, and she remains an active voice in advancing the role of mixed reality in STEM education.
Research Focus
Key Achievements
Top Papers
- 1Exposing Robot Learning to Students in Augmented Reality Experience10 citations · 2018