Wen Feng Lu

National University of Singapore

Papers

8

Total Citations

302

H-Index

6

About

Wen Feng Lu is a pioneering researcher at the intersection of embodied intelligence, soft robotics, and advanced manufacturing. His work centers on integrating large language models with autonomous industrial robotics, as demonstrated in his highly cited 2024 paper (135 citations) which redefines how robots perceive and act in complex environments. Lu has made foundational contributions to stiffness modeling of industrial robots with gravity compensators (77 citations), enabling safer and more precise automation. He also leads innovation in soft sensing, notably through a 3D-printed metamaterial capacitive sensor array (48 citations) that decouples normal forces from stretch stimuli—a critical advance for universal jamming grippers and wearable joint monitors. His structural designs for highly-stretched wearable electronics (18 citations) and an earthworm-like soft robot using pneumatic actuators and cellular structures (11 citations) further showcase his ability to bridge materials science and bio-inspired robotics. With a portfolio spanning robotic design databases, semi-automatic ship hull blasting systems, and learning-based grasping from human demonstration, Lu’s work consistently pushes the boundaries of autonomous, adaptive, and human-centric robotic systems.

Research Focus

Key Achievements

6
H-Index
8
Papers
302
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
Embodied intelligence in manufacturing: leveraging large language models for autonomous industrial robotics
135 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: National University of Singapore

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago