Hong Fai Lau

ETH Zurich

Papers

2

Total Citations

45

H-Index

2

About

Hong Fai Lau is a robotics researcher whose work lies at the intersection of mechanical design, optimization, and soft robotics. His primary contributions focus on advancing the performance and accessibility of legged locomotion systems and soft actuation technologies. In his most influential work, Lau introduced "Vitruvio," an open-source leg design optimization toolbox for walking robots. This framework enables researchers to systematically optimize critical leg parameters—such as link lengths, transmission ratios, and spring stiffness—to minimize energy consumption or peak actuator torque, directly addressing fundamental challenges in efficient and robust robot locomotion. With 41 citations, this work has become a valuable resource for the robotics community, democratizing access to advanced design optimization. Additionally, Lau has explored soft robotics through the development of 3D-printed inflatable actuators for pneumatically-actuated soft robotic arms, demonstrating innovative fabrication techniques for compliant, safe, and lightweight robotic systems. His research bridges the gap between theoretical optimization and practical hardware design, providing tools and methodologies that empower other researchers to build more capable and efficient robots.

Research Focus

Key Achievements

2
H-Index
2
Papers
45
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Vitruvio: An Open-Source Leg Design Optimization Toolbox for Walking Robots
41 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: ETH Zurich

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago