Papers

2

Total Citations

37

H-Index

2

About

Houhu Lai is a researcher focused on the intersection of soft robotics and intelligent control systems. Their primary research areas include compliant actuation, pneumatic control, and flexible material mechanics. Lai’s most notable contribution is the development of an improved PID controller for compliant constant-force actuators, integrating a backpropagation neural network with a Smith predictor to address the nonlinearity and time delay inherent in pneumatic systems. This work, published in 2021, has garnered 30 citations, highlighting its significance in enhancing robotic contact operations. Additionally, Lai has explored the mechanical properties of flexible materials, specifically investigating the camber deformation and fracture strain of polydimethylsiloxane (PDMS) films. This 2020 study, with 7 citations, provides foundational insights for designing durable soft robotic components. Through these contributions, Lai advances the precision and reliability of compliant actuators, bridging control theory with material science to enable safer, more effective human-robot interactions.

Research Focus

Key Achievements

2
H-Index
2
Papers
37
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
An Improved PID Controller for the Compliant Constant-Force Actuator Based on BP Neural Network and Smith Predictor
30 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago