Papers

29

Total Citations

616

H-Index

14

About

Guoliang Ma is a multidisciplinary robotics and flexible electronics researcher whose work bridges advanced sensing technologies and intelligent robotic systems. His research spans two complementary domains: bioinspired flexible strain and pressure sensors for wearable applications, and hydraulic drive control systems for legged robots. In flexible electronics, Ma has made significant strides developing high-performance sensors that overcome longstanding limitations. His 2024 work on bionic flexible strain sensors—garnering 122 citations—addressed the persistent challenges of low fidelity and high hysteresis that plagued earlier designs, while subsequent contributions introduced self-powered, fiber-based, and textile-based sensors with exceptional practicality for human-machine interaction. His selective-response bioinspired strain sensor (52 citations) demonstrated innovative use of viscoelastic materials to dramatically improve signal-to-noise ratios. Parallel to this, Ma has advanced hydraulic drive unit (HDU) control for legged robots, pioneering impedance control methodologies and nonlinear model-based variable impedance approaches that have collectively accumulated nearly 120 citations, establishing foundational frameworks widely referenced in bionic locomotion research. With over 430 total citations across his most impactful publications, Ma's work has meaningfully shaped both wearable sensing technology and robotic control, making him a notable contributor at the intersection of biomimetics, flexible electronics, and intelligent robotic systems.

Research Focus

Key Achievements

14
H-Index
29
Papers
616
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
High-Fidelity, Low-Hysteresis Bionic Flexible Strain Sensors for Soft Machines
122 citations · 2024
📈 Most Prolific Year: 2024 (7 Papers)
🤝 Key Collaborators: 92
🏛 Institutions: Jilin University, Yanshan University, Nanjing University of Science and Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago