Papers
15
Total Citations
494
H-Index
10
About
Chenghao Yang is a leading researcher in soft robotics and continuum manipulators, with a focus on modeling, design, and control of compliant robotic systems for challenging environments. His work bridges fundamental mechanics and practical applications, particularly in medical robotics and dynamic capture. Yang’s most influential paper, “Geometric constraint-based modeling and analysis of a novel continuum robot with Shape Memory Alloy initiated variable stiffness” (2020, 208 citations), introduces a virtual work-based static model that addresses positioning and loading challenges in soft robots, establishing a foundation for variable-stiffness continuum arms. His contributions extend to soft robotic surfaces, eccentric bending actuators, and lumped-mass models for large-deformation surfaces, with papers earning 57 and 54 citations respectively. Notably, Yang’s bio-inspired design of a sea anemone-like flexible capture mechanism (2021, 26 citations) tackles non-cooperative target grasping in unstructured settings, while his work on traplike soft grippers with stiffness anisotropy (2022, 16 citations) advances dynamic capture. In medical robotics, he developed a zero-phase adaptive fuzzy Kalman filter (2016, 16 citations) and a fuzzy neural network sliding mode controller (2016, 13 citations) to suppress physiological tremor and vibration in robotically assisted minimally invasive surgery. With over 460 total citations, Yang’s research is pivotal for enhancing dexterity, safety, and adaptability in soft robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Design and modeling of a soft robotic surface with hyperelastic material57 citations · 2018
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- 7Variable-gain control for continuum robots based on velocity sensitivity16 citations · 2021
- 8Dynamic Capture Using a Traplike Soft Gripper With Stiffness Anisotropy16 citations · 2022
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