Papers
2
Total Citations
8
H-Index
2
About
Hujiang Wang is a rising researcher in robotics, with a focus on bio-inspired manipulation and digital twin technologies. His work centers on two key areas: the development of highly dexterous robotic hands and the integration of virtual-physical systems for legged robots. Wang’s major contribution lies in designing a hierarchical control architecture for fully-driven, multi-fingered dexterous hands, which leverage pneumatic artificial muscles (PAMs) to mimic human tendon and muscle structures, achieving superior dexterity in complex manipulation tasks. Additionally, his research on quadruped robots explores virtual–real interaction systems based on digital twins, enabling precise simulation and control of single-leg dynamics. Though early in his career, his most-cited paper (2024) has already garnered 6 citations, reflecting growing interest in his innovative approaches. Wang’s work bridges the gap between biomimetic design and practical robotic control, offering promising pathways for advanced prosthetics and autonomous manipulation.
Research Focus
Key Achievements
Top Papers
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