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About

Fengxu Wang is a leading researcher in the field of intelligent robotics, with a primary focus on continuum manipulators, soft robotics, and vision-based measurement systems. His work addresses the fundamental challenge of balancing flexibility and stiffness in robotic systems—a critical issue for applications ranging from space exploration to minimally invasive surgery. Wang’s most impactful contribution is his development of a vision-based method for the simultaneous measurement of manipulator configuration and target pose, published in 2021 and garnering 44 citations, which enables precise control of cable-driven robots. He also introduced a novel structure for fast stiffness-variation and omnidirectional-steering continuum manipulators (2020, 42 citations), demonstrating how soft robots can achieve both high flexibility and sufficient carrying capacity through innovative mechanical design. Additionally, Wang has proposed a principle for stiffness variation using fiber-reinforced composite structures (2020), offering a new approach to enhance environmental adaptability in soft machines. His recent work on configuration reconstruction for space robots (2024) continues to push boundaries in rigid-flexible dual-arm systems. With a growing citation record, Wang is establishing himself as a key innovator in creating more adaptable, capable, and intelligent robotic systems.