Peiru Wang

National Ilan University, Northeast Forestry University

Papers

Total Citations

H-Index

About

Peiru Wang is a researcher whose work bridges robotics and advanced materials, with a primary focus on intelligent control systems and functional composites. Their most cited paper, "Particle swarm optimization for solving the inverse kinematics of 7-DOF robotic manipulators" (2012, 70 citations), introduced a novel application of particle swarm optimization (PSO) to address the complex inverse kinematics problem for 7-degree-of-freedom robotic arms. This work provided an efficient, swarm-based solution for redundant manipulators, enabling more agile and precise motion planning in tasks requiring high dexterity. Wang's contribution here is significant for advancing autonomous robotic control, particularly in industrial and surgical settings. More recently, Wang has ventured into materials science with "Soft magnetic wood composites with chain-aligned Fe3O4 nanoparticles for magnetically driven actuators" (2023, 4 citations), exploring the integration of magnetic nanoparticles into wood-based composites for soft robotics. This emerging work demonstrates Wang’s versatility in combining computational methods with novel material design. With a growing citation record and a trajectory from algorithmic optimization to functional materials, Peiru Wang is establishing a reputation for innovative, cross-disciplinary research that addresses real-world engineering challenges.