Papers

13

Total Citations

79

H-Index

6

About

Junlin Ma is a rising force in soft robotics and human–robot interaction, whose work centers on developing intelligent, sensor-rich robotic systems that are safe, perceptive, and physically adaptive. His major contributions lie in creating novel electronic skins (e-skins) and wearable actuators that bridge the gap between machine and human. Notably, his 2023 paper on a self-capacitance proximity e-skin (13 citations) introduced long-range sensibility for robotic arm environment perception, addressing a critical safety need in collaborative robotics. Ma has also pioneered compact pneumatic clutches with integrated stiffness variation and position feedback (12 citations), enabling more responsive active and wearable devices. His research extends to all-fabric bi-directional actuators for multi-joint upper limb assistance and multifunctional robotic gloves for hand rehabilitation, demonstrating a commitment to practical, human-centered applications. With over 70 total citations across his most-cited works, Ma’s innovations in crosstalk-free bimodal sensors, programmable capacitive arrays, and muscle-inspired stiffness-tunable structures are shaping the next generation of wearable robots and assistive technologies. His work promises to make robots not only smarter, but safer and more intuitive partners in daily life.

Research Focus

Key Achievements

6
H-Index
13
Papers
79
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A Self-Capacitance Proximity E-Skin With Long-Range Sensibility for Robotic Arm Environment Perception
13 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 39
🏛 Institutions: Beihang University, Chinese Academy of Sciences, Harbin Institute of Technology, Tongji University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago