Jian Zeng

Guangxi University, Taiyuan University of Science and Technology, University of Science and Technology of China

Papers

Total Citations

H-Index

About

Jian Zeng is a researcher whose work bridges bioinspired robotics and stretchable electronics, with a particular focus on creating intelligent systems that mimic natural adaptability. His most notable contribution is the development of an intrinsically stretchable and self-healable tribotronic transistor for bioinspired electronic skin (e-skin), published in 2022 and garnering 19 citations. This work represents a significant advance in soft robotics and human-machine interfaces, as it combines mechanical resilience with self-repair capabilities—key properties for next-generation wearable sensors and prosthetics. Earlier in his career, Zeng explored swarm robotics through a terrain coverage algorithm inspired by wasp division labor, where he modeled response thresholds to achieve efficient multi-robot coordination (2011, 4 citations). He also contributed to humanoid robot gait planning, addressing the limitations of the linear inverted pendulum model by ensuring stability during startup phases (2014, 4 citations). While his citation counts are modest, the breadth of his work—from swarm intelligence to soft electronics—demonstrates a versatile approach to solving real-world robotic challenges. His e-skin research, in particular, holds promise for future applications in healthcare and interactive robotics, marking him as a researcher with emerging impact in bioinspired engineering.