Yinfeng Geng

Papers

Total Citations

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About

Yinfeng Geng is a rising researcher in the field of robotics, with a focus on inverse kinematics, motion control, and bionic robot design. His work addresses critical challenges in robotic manipulation and locomotion, particularly for redundant robotic arms and bio-inspired robots. Geng’s most cited paper proposes an Improved Quantum Particle Swarm Optimization algorithm (DMII-IQPSO) for solving inverse kinematics in 7-Degree of Freedom redundant arms, achieving high accuracy and handling singular configurations—a problem that has long plagued robotic control. This work has garnered 14 citations since 2024, signaling strong interest from the robotics community. In another influential study, Geng developed a Model Predictive Control (MPC) method for a bionic sucker inchworm robot, enabling precise, stable motion in confined spaces like pipelines. This research, with 8 citations, expands the practical applications of insect-inspired robots. Geng’s contributions are notable for their technical rigor and real-world relevance, offering solutions that improve both the flexibility and reliability of robotic systems. His work is increasingly cited in advanced robotics and control engineering, marking him as a promising young scholar in the field.