Meng Yee Chuah

Massachusetts Institute of Technology, Agency for Science, Technology and Research, Institute for Infocomm Research

Papers

13

Total Citations

1,126

H-Index

9

About

No biography available yet.

Research Focus

Computer science12 · 1,125 citations
Robot11 · 1,112 citations
Engineering9 · 1,107 citations
Physics6 · 1,050 citations
Simulation5 · 956 citations
Automotive engineering2 · 935 citations
Actuator2 · 935 citations
Inertia2 · 935 citations
Torque2 · 935 citations
Electrical engineering2 · 935 citations
Artificial intelligence9 · 609 citations
Mechanical engineering2 · 589 citations

Key Achievements

9
H-Index
13
Papers
1,126
Total Citations
87
Avg Citations/Paper
🏆 Most Cited Paper
Design Principles for Energy-Efficient Legged Locomotion and Implementation on the MIT Cheetah Robot
502 citations · 2014
📈 Most Prolific Year: 2014 (3 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Massachusetts Institute of Technology, Agency for Science, Technology and Research, Institute for Infocomm Research

Top Papers

  1. 1
    Design Principles for Energy-Efficient Legged Locomotion and Implementation on the MIT Cheetah Robot
    502 citations · 2014
  2. 2
    Design principles for highly efficient quadrupeds and implementation on the MIT Cheetah robot
    433 citations · 2013
  3. 3
    Enabling Force Sensing During Ground Locomotion: A Bio-Inspired, Multi-Axis, Composite Force Sensor Using Discrete Pressure Mapping
    87 citations · 2014
  4. 4
    Facilitating Model-Based Control Through Software-Hardware Co-Design
    26 citations · 2018
  5. 5
    Traversability analysis with vision and terrain probing for safe legged robot navigation
    17 citations · 2022
  6. 6
    Design for precision multi-directional maneuverability: Egg-shaped underwater robots for infrastructure inspection
    17 citations · 2014
  7. 7
    Bi-Modal Hemispherical Sensor: A Unifying Solution for Three Axis Force and Contact Angle Measurement
    14 citations · 2019
  8. 8
    Composite force sensing foot utilizing volumetric displacement of a hyperelastic polymer
    11 citations · 2012
  9. 9
    Improved normal and shear tactile force sensor performance via Least Squares Artificial Neural Network (LSANN)
    11 citations · 2016
  10. 10
    Design principles of multi-axis, large magnitude force sensors based on stress fields for use in human and robotic locomotion
    3 citations · 2018

Key Collaborators

SKSangbae Kim7 shared papersZLZhibin Li3 shared papersGHGaren Haddeler3 shared papersAHAlbertus Hendrawan Adiwahono3 shared papersCCChee–Meng Chew3 shared papersHPHari P. Palanivelu2 shared papersAWAlbert Wang2 shared papersYCYung Chuen Ng2 shared papersJHJeffrey H. Lang2 shared papersSSSangok Seok2 shared papersFCFabien Colonnier2 shared papersDMDavid M. Otten2 shared papersZWZhicheng Wang1 shared papersWYWei‐Yun Yau1 shared papersJCJianle Chan1 shared papersDKDonghyun Kim1 shared papersMSMichael S. Triantafyllou1 shared papersJLJongwoo Lee1 shared papersQZQiuguo Zhu1 shared papersMAMatthew A. Estrada1 shared papers
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