Papers

12

Total Citations

474

H-Index

7

About

Meng Cheng Lau is a robotics researcher whose work spans humanoid robot navigation, entertainment robotics, and human-robot interaction. He made an early and significant contribution to autonomous robot locomotion with his 2006 paper on footstep planning for Honda's ASIMO humanoid, which has accumulated an impressive 384 citations and remains a landmark reference for obstacle-aware navigation in bipedal robots. This work addressed a critical gap in humanoid autonomy by enabling robots to intelligently select foot placements in complex environments. Beyond navigation, Lau has cultivated a distinctive research thread in entertainment and creative robotics, developing humanoid systems capable of performing magic shows, drawing portraits, and playing music alongside human musicians. His portrait-drawing robot "Betty" exemplifies this creative direction, employing innovative geometric graph approaches to generate artistic line drawings. More recently, his work on closed-loop push recovery and Q-learning-based gait generation reflects a continued commitment to making humanoid robots more robust and accessible on inexpensive platforms. Lau's research is notable for bridging rigorous engineering with imaginative applications, demonstrating that humanoid robots can engage meaningfully with human audiences in performance contexts. His body of work offers students a compelling model of how technical robotics research can intersect with creativity and public engagement.

Research Focus

Key Achievements

7
H-Index
12
Papers
474
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
Footstep Planning for the Honda ASIMO Humanoid
384 citations · 2006
📈 Most Prolific Year: 2019 (4 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Chestnut Hill College, University of Manitoba, National University of Malaysia, Laurentian University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago