Jiyang Lee
Papers
1
Total Citations
4
H-Index
1
About
Jiyang Lee is a rising researcher at the forefront of embodied AI and human-robot interaction, with a focus on integrating large language models (LLMs) into autonomous navigation systems. His most notable contribution is the development of "E2Map: Experience-and-Emotion Map for Self-Reflective Robot Navigation with Language Models" (2025), which pioneers a novel framework that enables robots to navigate not just based on spatial data, but by incorporating past experiences and emotional cues from human language. This work addresses a critical gap in LLM-guided robotics—adapting to dynamic, real-world environments rather than static ones. Already garnering 4 citations in its first year, E2Map is gaining traction for its potential to make robots more intuitive and context-aware. Lee’s research sits at the intersection of cognitive robotics, natural language processing, and affective computing, aiming to create machines that can "reflect" on their actions. His work is particularly impactful for students and researchers interested in how language models can bridge the gap between human intent and robotic behavior, promising safer and more empathetic autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1