Sangok Seok

Massachusetts Institute of Technology, Naver (South Korea), IIT@MIT

Papers

14

Total Citations

2,630

H-Index

9

About

No biography available yet.

Research Focus

Computer science14 · 2,630 citations
Engineering9 · 2,538 citations
Actuator6 · 2,218 citations
Artificial intelligence13 · 2,128 citations
Robot13 · 1,974 citations
Simulation6 · 1,828 citations
Mechanical engineering2 · 1,158 citations
Control theory (sociology)5 · 1,139 citations
Torque4 · 985 citations
Physics3 · 981 citations
Mobile robot6 · 977 citations
Electrical engineering3 · 943 citations

Key Achievements

9
H-Index
14
Papers
2,630
Total Citations
188
Avg Citations/Paper
🏆 Most Cited Paper
Meshworm: A Peristaltic Soft Robot With Antagonistic Nickel Titanium Coil Actuators
656 citations · 2013
📈 Most Prolific Year: 2014 (4 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: Massachusetts Institute of Technology, Naver (South Korea), IIT@MIT

Top Papers

  1. 1
    Meshworm: A Peristaltic Soft Robot With Antagonistic Nickel Titanium Coil Actuators
    656 citations · 2013
  2. 2
    Design Principles for Energy-Efficient Legged Locomotion and Implementation on the MIT Cheetah Robot
    502 citations · 2014
  3. 3
    Proprioceptive Actuator Design in the MIT Cheetah: Impact Mitigation and High-Bandwidth Physical Interaction for Dynamic Legged Robots
    454 citations · 2017
  4. 4
    Design principles for highly efficient quadrupeds and implementation on the MIT Cheetah robot
    433 citations · 2013
  5. 5
    High speed trot-running: Implementation of a hierarchical controller using proprioceptive impedance control on the MIT Cheetah
    266 citations · 2014
  6. 6
    Peristaltic locomotion with antagonistic actuators in soft robotics
    169 citations · 2010
  7. 7
    Deep Reinforcement Learning of Navigation in a Complex and Crowded Environment with a Limited Field of View
    76 citations · 2019
  8. 8
    A hybrid dynamic model for the AMBIDEX tendon-driven manipulator
    46 citations · 2020
  9. 9
    Applying Asynchronous Deep Classification Networks and Gaming Reinforcement Learning-Based Motion Planners to Mobile Robots
    9 citations · 2018
  10. 10
    A highly parallelized control system platform architecture using multicore CPU and FPGA for multi-DoF robots
    8 citations · 2014

Key Collaborators

SKSangbae Kim8 shared papersDMDavid M. Otten5 shared papersAWAlbert Wang4 shared papersJHJeffrey H. Lang4 shared papersDJDong Jin Hyun3 shared papersJLJongwoo Lee2 shared papersRJRobert J. Wood2 shared papersMYMeng Yee Chuah2 shared papersSLSungPyo Lee2 shared papersDRDaniela Rus2 shared papersPMPatrick M. Wensing2 shared papersÇDÇağdaş D. Önal2 shared papersYKYong-Jae Kim1 shared papersJPJinwon Pyo1 shared papersMLMinji Lee1 shared papersJKJaewoon Kwon1 shared papersCPChang‐Woo Park1 shared papersSPSang-In Park1 shared papersYSYoungwoo Sim1 shared papersDKDongwoo Ko1 shared papers
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