Haoji Wang

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About

Haoji Wang is a rising researcher in soft robotics and intelligent automation, with a focus on developing adaptive robotic systems for complex, unstructured environments. Their most cited work introduces a motion-sensing integrated soft robot equipped with a triboelectric nanogenerator for pipeline inspection—a breakthrough that combines soft actuation with self-powered sensing to navigate and assess challenging confined spaces. This paper has garnered 18 citations, reflecting its impact on the field of soft robotics and energy harvesting. Wang also contributed to the trajectory planning and motion characterization of a six-degree-of-freedom industrial robot using MATLAB, demonstrating expertise in kinematic modeling and simulation. By applying DH parameter methods to the Kawasaki RS010N, they advanced the precision of robotic motion control. Wang’s work bridges the gap between soft, bio-inspired design and traditional industrial robotics, offering practical solutions for inspection and automation. Their research holds promise for applications in infrastructure maintenance, hazardous environment exploration, and intelligent manufacturing, marking them as a promising voice in next-generation robotic systems.