Papers
3
Total Citations
8
H-Index
2
About
Hongru Wang is a robotics researcher whose work focuses on the modeling, control, and optimization of mobile robotic systems, with a particular emphasis on bio-inspired and omnidirectional platforms. His research spans formation control, trajectory tracking, and underwater propulsion, addressing key challenges in constrained and uncertain environments. Wang’s most cited work, “Design and optimization of a bionic jellyfish robot for enhanced underwater propulsion efficiency” (2025, 4 citations), introduces a novel bio-inspired design that improves propulsion performance, contributing to the growing field of soft and biomimetic robotics. In “Formation Control of Differential Mobile Robots with Diamond-shaped Input Constraints” (2022, 3 citations), he developed a model predictive control framework that accounts for complex, coupled input constraints, advancing the practical deployment of multi-robot systems. His 2024 paper on “Model Predictive Tracking Control for Three-wheeled Mobile Robots Combined with Gaussian Process Regression” (1 citation) integrates data-driven learning with control theory to handle unknown disturbances, showcasing his commitment to robust, adaptive solutions. Wang’s work is notable for bridging theoretical control methods with real-world robotic applications, making him a promising voice in the next generation of robotics research.
Research Focus
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Top Papers
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