Matthew Kang

University of Toronto

Papers

2

Total Citations

20

H-Index

2

About

Dr. Matthew Kang is a leading researcher in the field of medical robotics and haptic feedback systems, with a specific focus on enhancing surgical precision through advanced actuation technologies. His primary contributions lie in the development and control of magnetorheological (MR) fluid-based haptic devices for tele-robotic surgery. Dr. Kang’s most influential work, cited 16 times, introduces a nonlinear Hammerstein-Wiener estimator to control an MR fluid force generator module (FGM) designed for robotic bone biopsy. This device is groundbreaking for its ability to rapidly and accurately reproduce the wide range of forces encountered during bone biopsy, providing critical force-feedback information to surgeons. In his foundational 2017 study, he prototyped an MR fluid-based actuator capable of generating forces up to 47 N, establishing a novel control framework for tele-robotic surgical applications. By tackling the complex nonlinear dynamics of MR fluids, Dr. Kang’s research directly addresses the challenge of delivering realistic haptic feedback in minimally invasive procedures, promising to improve surgical outcomes and safety in orthopedics and beyond.

Research Focus

Key Achievements

2
H-Index
2
Papers
20
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Application of a Nonlinear Hammerstein-Wiener Estimator in the Development and Control of a Magnetorheological Fluid Haptic Device for Robotic Bone Biopsy
16 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Toronto

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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