Yizhun Peng

Tianjin University of Science and Technology

Papers

Total Citations

H-Index

About

Yizhun Peng is a robotics researcher whose work bridges automation, intelligent control, and human-robot interaction. His key research areas include logistics robotics, humanoid design, and embedded systems, with a focus on practical applications that enhance efficiency and cultural engagement. Peng’s major contributions are demonstrated through two highly cited papers: his 2024 study on *Intelligent Logistics Handling Robots* (3 citations) explores mechanical design, automatic control, and image recognition to advance autonomous material handling in logistics. His 2022 work on *Design of a Humanoid Dance Robot for Dancing Baduanjin* (2 citations) introduces a 16-servo-motor humanoid controlled by an STM32 chip and dual-mode Bluetooth, programmed to perform the traditional Chinese exercise Baduanjin with precise spatial and temporal accuracy. This project uniquely combines robotics with cultural heritage, showcasing Peng’s ability to integrate technical rigor with creative application. With a growing citation impact, Peng’s research is shaping the future of intelligent robotics in both industrial and social contexts, making him a notable figure in the field of mechatronics and humanoid automation.