About

Keren Dai is a materials scientist and robotics engineer whose research sits at the dynamic intersection of stretchable electronics, soft robotics, and energy harvesting. With a body of work spanning nearly a decade, Dai has made significant contributions to the development of flexible, adaptive systems that bridge the gap between human biomechanics and intelligent machines. Dai's early landmark work introduced a highly shape-adaptive, liquid-conductor-based energy harvester capable of powering self-monitoring wearable devices, earning over 328 citations and establishing her as a pioneer in deformable power systems. Her subsequent development of a self-healing, ultra-stretchable ionogel strain sensor — cited 275 times — addressed critical challenges in human-machine interfaces and soft robotics, enabling reliable sensing under extreme deformation conditions. More recently, Dai has pushed into magnetically driven soft actuators and bioinspired robotics, designing systems that mimic natural organisms such as arthropods and the predatory bobbit worm. These innovations integrate triboelectric sensing directly into soft robotic platforms, enabling autonomous obstacle avoidance and delicate adaptive grasping. Together, her contributions reflect a coherent vision: creating intelligent, self-powered soft systems that respond fluidly to complex real-world environments.

Research Focus

Key Achievements

4
H-Index
5
Papers
621
Total Citations
124
Avg Citations/Paper
🏆 Most Cited Paper
A highly shape-adaptive, stretchable design based on conductive liquid for energy harvesting and self-powered biomechanical monitoring
328 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: Tsinghua University, Nanjing University of Information Science and Technology, Nanjing University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago