Papers
12
Total Citations
70
H-Index
6
About
Dr. Jia-Yush Yen is a pioneering roboticist whose research bridges biomimetic design, intelligent control, and human-robot interaction. His work spans three key areas: bio-inspired robotics (hexapod and snake-like robots using shape memory alloy actuators), assistive and medical robotics (walk-assistance two-wheeled inverted pendulum robots and flexible endoscope holders for laparoscopic surgery), and human motion analysis using machine learning. Dr. Yen’s major contributions include developing sensor fusion methods—such as Kalman and H∞ filters—for SMA-based hexapod robots, and creating decoupled multi-loop robust controllers for walk-assistance devices. His recent work on detecting human posture transitions using inertial measurement units and LSTM neural networks (12 citations) addresses a critical gap in human-robot collaboration. With over 60 citations across his top 10 papers, Dr. Yen has demonstrated sustained impact in both theoretical control design and practical robotic applications. Notably, his research on direct reinforcement learning for articulated robot trajectory control (2022) represents a significant step toward model-free joint torque control, while his biomimetic snake robot with sensor-based gait control showcases innovative integration of tactile sensing and optimization.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Sensor fusion in a SMA-based hexapod bio-mimetic robot9 citations · 2008
- 4A bio-mimetic snake-like robot: Sensor based gait control7 citations · 2008
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- 7A HEXAPOD ROBOT BASED ON SHAPE MEMORY ALLOY ACTUATORS5 citations · 2006
- 8Control of a Robotic Flexible Endoscope Holder for Laparoscopic Surgery4 citations · 2021
- 9Machine Learning for Human Motion Change Detection3 citations · 2023
- 10