Papers
1
Total Citations
23
H-Index
1
About
Fanglei Sun is pioneering the integration of large language models (LLMs) with multimodal human-robot interaction, with a focus on socially-aware navigation. Their most-cited work, "Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework" (2024, 23 citations), addresses a critical gap in HRI by enabling robots to interpret and execute complex, mixed-modality commands—combining natural language and hand-drawn sketches. This framework allows robots to seamlessly switch between tasks like point-to-point navigation, human-following, and human-guiding while adeptly avoiding obstacles in dynamic environments. Sun’s contributions are reshaping how robots understand and respond to nuanced human instructions, moving beyond rigid command structures toward more intuitive, flexible interaction. By bridging the gap between language, visual input, and autonomous navigation, their work lays the groundwork for robots that can collaborate with humans in real-world settings—from crowded public spaces to assistive care environments. With a growing citation impact and a clear trajectory toward more adaptive, context-aware robotics, Fanglei Sun is establishing themselves as a key innovator in the next generation of human-robot collaboration.
Research Focus
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Top Papers
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