Papers

3

Total Citations

10

H-Index

2

About

Pengkun Liu is a pioneering researcher at the intersection of building science and robotics, with key contributions in post-occupancy evaluation (POE), robotic haptics, and novel gas-sensing materials. His most cited work, "Improving post-occupancy evaluation engagement using social robots" (2022, 6 citations), introduces a groundbreaking method to enhance indoor environmental quality (IEQ) assessments by deploying social robots for more engaging and reliable occupant feedback—addressing a long-standing challenge in POE methodology. Liu also advances robotic manipulation through "Acquisition and Prediction of High-Density Tactile Field Data for Rigid and Flexible Objects" (2023, 2 citations), where he leverages vision-based tactile sensors to achieve high-resolution haptic data critical for precision tasks. Demonstrating remarkable interdisciplinary breadth, his "A first principles study of BiSb monolayer: A novel gas sensor for robotic applications" (2024, 2 citations) explores two-dimensional materials for environmental sensing in robotics. With a total of 10 citations across his most-cited works, Liu’s research uniquely bridges human-building interaction, tactile sensing, and materials science, positioning him as an emerging leader in creating smarter, more responsive built environments and robotic systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
10
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Improving post-occupancy evaluation engagement using social robots
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Carnegie Mellon University, Fudan University, Institute of Applied Technology

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago