Leonardy Setyawan

Papers

Total Citations

H-Index

About

Leonardy Setyawan is a robotics researcher whose work focuses on creating intuitive, interactive robotic systems that bridge the gap between human intention and machine action. His key research areas include color-based object classification, human-robot interaction through puppetry, and emotionally expressive robotics. Setyawan’s most notable contributions include the development of a color recognition robot that uses sensor-based classification to sort objects, demonstrating how robotic automation can extend beyond industrial applications into education and entertainment. His hand-puppet robot control system represents an innovative approach to human-robot interaction, allowing users to control robotic movements through a familiar, tactile interface. Perhaps his most creative work is the Robogotchi, an emoticon robot capable of displaying facial expressions, producing sound, and responding to simulated feeding through RFID technology—effectively creating a robotic pet with emotional resonance. While his citation counts (ranging from 2-3 per paper) reflect early-career work, Setyawan’s research demonstrates a thoughtful exploration of how robots can become more accessible, engaging companions in everyday life, laying groundwork for future developments in social robotics and intuitive control interfaces.