Juncai Song

Beijing Institute of Technology, Anhui University

Papers

Total Citations

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About

Juncai Song is a leading researcher at the forefront of soft robotics and smart materials, with a primary focus on liquid crystal elastomers (LCEs) and their application as artificial muscles. His work is defined by transformative advances in programmable shape-morphing materials, enabling complex, multi-mode deformations that mimic natural biological motion. Song’s most cited paper, “Centimeter-Scale Bulk Liquid Crystal Elastomer Artificial Muscle with Strong Mechanical Properties and Designable Complex Shape-Morphing” (2025, 5 citations), introduces a scalable approach to creating robust LCE actuators with unprecedented mechanical strength and design flexibility, pushing artificial muscles closer to real-world robotic integration. In “Reconfigurable Liquid Crystal Elastomer Director Patterns for Multi-Mode Shape Morphing” (2024, 4 citations), he pioneered a strategy to dynamically alter molecular orientation patterns, overcoming the traditional limitation of fixed morphing modes in LCEs. Beyond soft actuators, Song has also contributed to automation and computer vision, developing a three-step strategy for pattern recognition and rotation angle estimation of rectangular workpieces (2025, 2 citations). His interdisciplinary work bridges materials science and robotics, offering scalable, programmable solutions that could revolutionize prosthetics, wearable devices, and autonomous assembly systems.