Ceyue Liu

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Ceyue Liu is a leading researcher in modular robotics and embodied artificial intelligence, with a focus on designing open, accessible platforms for evolutionary robotics. Their most influential work centers on the EMeRGE (Easy Modular Embodied Robot Generation) platform, a pioneering open-source modular robot system that enables rapid prototyping and testing of evolved robot morphologies. Liu’s 2017 paper on EMeRGE, cited 19 times, provides the hardware design and implementation details of modules that are inexpensive, easy to build, and feature four magnetic connectors for quick reconfiguration—a significant contribution to democratizing robotics research. In a complementary study with 14 citations, Liu systematically investigates how different module morphologies—specifically the number and position of connectors—impact a robot’s ability to perform tasks, filling a critical gap in modular robot design. This work has influenced subsequent research on morphology-driven evolution and adaptive robotics. Liu’s commitment to open hardware and reproducible science makes their contributions especially valuable for students and researchers seeking to explore embodied AI without prohibitive costs.