Joni Welman Simatupang
Papers
2
Total Citations
9
H-Index
2
About
Joni Welman Simatupang is a researcher specializing in robotics, computer vision, and sensor integration, with a focus on human-robot interaction and public health applications. His most cited work, "Humanoid Robot Application as COVID-19 Symptoms Checker Using Computer Vision and Multiple Sensors" (2021, 6 citations), demonstrates a novel approach to pandemic response by equipping a humanoid robot with thermal cameras and sensors to autonomously screen for fever and other symptoms, reducing human exposure risk. This work highlights his ability to combine hardware and software for real-world impact. In "Real-Time Hand Gesture Recognition for Humanoid Robot Control Using Python CVZone" (2023, 3 citations), he advances intuitive human-robot interfaces, enabling natural gesture-based commands. Simatupang’s contributions lie at the intersection of practical robotics and accessible technology, making complex systems usable in healthcare and everyday settings. His research not only addresses immediate challenges like pandemic safety but also lays groundwork for more responsive, human-centered automation. With a growing citation record, Simatupang is establishing himself as a key voice in applied robotics and computer vision.
Research Focus
Key Achievements
Top Papers
- 1
- 2