M. Miura–Mattausch
Papers
13
Total Citations
85
H-Index
5
About
M. Miura-Mattausch is a robotics and electromechanical systems researcher whose work centers on intelligent humanoid robot locomotion, sensor-driven control, and physics-based system simulation. Their most influential contributions focus on equipping biped robots with the perceptual and adaptive capabilities needed for safe, efficient navigation in real-world environments. Through a sustained body of research, Miura-Mattausch has pioneered force-sensor-based surface recognition systems that enable humanoid robots to identify and respond to diverse terrain types — from foam and carpet to inclined surfaces — dynamically adjusting walking speed, pattern, and balance in real time. Their most cited work (2020, 18 citations) demonstrated that electrical feedback circuitry and force sensors can extend stable robot posture beyond critical inclination thresholds, a significant advance for practical deployment. Complementary studies explored gyro-sensor-based vibration control, energy efficiency optimization across indoor surfaces, and machine learning algorithms for autonomous walking control. Earlier foundational work on compact electromechanical modeling provided a simulation framework bridging electrical, mechanical, and coupled domains. Collectively accumulating nearly 80 citations, Miura-Mattausch's research represents a cohesive effort to make humanoid robots genuinely adaptive, energy-conscious, and environment-aware — qualities essential for next-generation intelligent robotics.
Research Focus
Key Achievements
Top Papers
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- 6Machine learning algorithm for autonomous control of walking robot5 citations · 2018
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- 9Compact modeling approach for electro-mechanical system simulation2 citations · 2017
- 10Force-Sensor-Based Walking-Environment Recognition of Biped Robots2 citations · 2020