Papers
7
Total Citations
238
H-Index
4
About
Fu-Cheng Wang is a leading researcher in the fields of soft robotics, human-robot interaction, and intelligent control systems. His most impactful contribution is the development of fatigue-resistant conducting polymer hydrogels for strain sensors, published in 2023 and garnering 208 citations—a breakthrough that enables durable, skin-like sensing for underwater robotics and wearable devices. Wang has also advanced human motion analysis, creating a Long Short-Term Memory neural network to detect posture transitions using inertial measurement units, a critical innovation for safe human-robot collaboration in industrial and clinical settings. His work on decoupled multi-loop robust control for two-wheeled inverted pendulum walk-assistance robots demonstrates his commitment to assistive technology, while his application of viability theory to optimize robot movement in narrow corridors addresses real-world efficiency challenges. Wang’s research spans companion robots with tactile sensor networks and dynamic human recognition using RGB-D cameras, showcasing his versatility. With a strong focus on practical, interdisciplinary solutions, his contributions are shaping the future of adaptive robotics and human-centered automation.
Research Focus
Key Achievements
Top Papers
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- 5Machine Learning for Human Motion Change Detection3 citations · 2023
- 6Sense and Control of a Companion Robot2 citations · 2008
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