Papers
9
Total Citations
48
H-Index
4
About
Gia Hoang Phan is a researcher at the intersection of robotics, human motor control, and intelligent automation, with a focus on bridging the gap between human skill and robotic execution. Her primary research areas include human-robot interaction, haptic sensing, and the application of artificial intelligence in rehabilitation and industrial robotics. Phan’s major contributions lie in developing methods to estimate and replicate human joint stiffness and dynamic interactions during tooling tasks, such as grinding and finishing. Her most cited work, “Estimating Human Wrist Stiffness during a Tooling Task” (2020, 16 citations), proposes a practical approach for programming robots by demonstration through wrist stiffness estimation. She has also advanced 3D motion tracking with a complementary filter design on SE(3) to identify micro-motions, and designed instrumented power tools to capture dynamic contact forces, as seen in her 2020 paper (9 citations). Her review on AI in rehabilitation exoskeletons (2022, 4 citations) highlights her broader impact. Phan’s work is notable for its bio-inspired motor control strategies and integration of long short-term memory networks for optimal robotic arm control, contributing to safer, more adaptive automation in manufacturing and rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1Estimating Human Wrist Stiffness during a Tooling Task16 citations · 2020
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- 4Geometry of contact during tooling tasks via dynamic estimation4 citations · 2017
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