Dion Setiawan

Sepuluh Nopember Institute of Technology

Papers

Total Citations

H-Index

About

Dion Setiawan is a researcher focused on advancing human-robot collaboration through cutting-edge computer vision and pose estimation techniques. His primary research areas include multi-human pose detection, collaborative robotics, and sensor-based human-machine interaction. Setiawan’s most notable contribution is the development of the EELAN-Blazepose model, a novel architecture for multi-human pose detection that enables robots to interpret human body language in real time. This work, published in 2023, has already garnered 2 citations, signaling its early impact in the field. By integrating camera and LiDAR sensor data, Setiawan’s system allows robots to autonomously perform collaborative actions—such as giving and receiving objects—based on human poses. His research bridges the gap between perception and action in robotics, offering practical solutions for safer, more intuitive human-robot teamwork. Setiawan’s work is particularly relevant for industrial automation and assistive robotics, where understanding human intent through pose is critical. As his citation count grows, his EELAN-Blazepose model stands as a promising foundation for future advancements in responsive, human-aware robotic systems.