The Polymer Society of Korea

이윤찬 (연세대학교)

조정호 (연세대학교)

The complexity of coordinating humanlike finger movements in robotic systems remains a challenge due to inherent limitations of conventional binary logic control architectures and signal bottlenecks. This study presents an innovative robotic control approach employing an ion-gel-based synaptic transistor array capable of spatial multiplexing of spike signals. Leveraging parallel processing and ionic modulation, this system substantially reduces control complexity, enabling simultaneous and coordinated multi-actuator control. Integrated with robotic fingers driven by shape memory alloys, the proposed platform successfully demonstrates precise and humanlike finger movements with significantly lowered computational requirements. The elimination of digital-to-analog converters simplifies the overall circuitry, offering a promising solution for future advancements in efficient robotic control systems.