Erwin Sitompul

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About

Erwin Sitompul is a robotics researcher whose work focuses on accessible, practical robotic systems for real-world applications, particularly in healthcare and human-robot interaction. His key research areas include robot manipulator control, Internet of Things (IoT)-based robotics, and autonomous navigation. Sitompul’s major contributions center on developing low-cost, user-friendly prototypes that bridge the gap between complex robotics and everyday utility. His most cited work, "Prototipe Manipulator Lengan Robot Berbasis Arduino dengan Metoda Kendali Lead-Through" (2020, 5 citations), introduces an Arduino-based robotic arm that simplifies programming through lead-through control, making automation more accessible. He further advanced assistive robotics with "A Prototype of an IoT-Based Pet Robot with Customizable Functions (CoFiBot V2)" (2021, 3 citations), demonstrating modular, interactive design. Notably, his 2022 study "RPLiDAR-Based Mapping in Development of a Health Service Assisting Robot in COVID-19 Pandemic" (2 citations) developed an autonomous indoor navigation system using RPLiDAR, directly addressing pandemic-era needs for contactless logistics and monitoring. Through these projects, Sitompul showcases a commitment to creating practical, scalable robotic solutions that enhance daily life and public health.