Papers

8

Total Citations

46

H-Index

4

About

Xiaohua Sun is a pioneering researcher at the intersection of human-robot interaction (HRI), intelligent vehicle design, and end-user programming. Their work fundamentally reimagines how non-experts can intuitively communicate with and control autonomous systems—from smart cockpits to service robots. Sun’s most cited paper, “From HMI to HRI: Human-Vehicle Interaction Design for Smart Cockpit” (2018, 18 citations), established a foundational framework for transitioning traditional human-machine interfaces into adaptive, human-robot partnerships within vehicles. They have since advanced this vision through groundbreaking contributions: developing “Cocobo” (2024, 5 citations), which leverages large language models to enable everyday users to program service robots using natural language, and “GenComUI” (2025, 4 citations), which dynamically generates visual aids like map annotations to enhance task-oriented robot communication. Sun also explores tangible interfaces, such as smart textile leggings for posture monitoring (2023, 5 citations), and co-design methods using virtual reality for service robot applications. Their work on knowledge graph visualization for non-expert users (2021, 9 citations) further democratizes robot interaction. With a growing citation footprint and a clear trajectory toward making autonomous systems accessible, Sun is shaping the future of human-centered AI.

Research Focus

Key Achievements

4
H-Index
8
Papers
46
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
From HMI to HRI: Human-Vehicle Interaction Design for Smart Cockpit
18 citations · 2018
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Tongji University, Southern University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago