Papers
7
Total Citations
248
H-Index
5
About
Lingfeng Chen is a leading researcher in soft robotics and intelligent systems, with a focus on designing high-performance soft actuators and advancing human-robot interaction. Their major contributions include pioneering work on trunk-like pneumatic soft actuators and developing novel electro-ionic soft actuators using MXene-based composite electrodes, achieving fast response times and large bending strains under low voltage. Chen's bibliometric analysis of soft robotics, with 202 citations, has provided foundational insights into the field's growth and trends. They have also explored EEG-based emotion recognition to enhance human-robot interaction, demonstrating versatility across robotics and biomedical engineering. With over 250 total citations across key publications, Chen's work on modeling contact stiffness for soft fingertips and stiffness-tunable actuators has practical implications for grasping and manipulation. Their recent innovations in 3D-structured MXene-EGaIn bilayer electrodes represent a significant leap in actuator performance, promising applications in flexible electronics and wearable devices. Chen's research is highly influential, shaping the future of soft robotics and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis202 citations · 2018
- 2Trunk-like Soft Actuator: Design, Modeling, and Experiments17 citations · 2019
- 3
- 4A New Type of Soft Actuator: Design and Fabrication5 citations · 2018
- 5
- 6Modeling Contact Stiffness of Soft Fingertips for Grasping Applications5 citations · 2023
- 7