Jinghua Wang

Changchun University of Science and Technology, Harbin Institute of Technology

Papers

Total Citations

161

H-Index

About

Jinghua Wang is a leading researcher in intelligent robotics, specializing in multilegged robot locomotion, motion control, and autonomous path planning. His most impactful work, the 2023 review "Intelligent Control of Multilegged Robot Smooth Motion," has garnered 117 citations and systematically addresses critical challenges in foot tracking and leg compliance control—foundational issues for enabling stable, adaptive movement in complex terrains. Wang further advanced mobile robot navigation with his 2022 paper on fuzzy logic path planning, which integrates geometric landmarks and kinetic constraints to optimize routes in two-dimensional environments, earning 34 citations. His 2023 study on human-like action learning introduces progressive pose generation for motion prediction, a novel approach that bridges robotic and human movement patterns. With a research portfolio that combines rigorous theoretical frameworks with practical algorithmic solutions, Wang has made significant contributions to making robots more agile, responsive, and autonomous. His work is essential reading for researchers and students interested in the intersection of control systems, artificial intelligence, and biomechanics in robotics.