Hendrik Siagian
Papers
2
Total Citations
9
H-Index
2
About
Hendrik Siagian is a researcher in robotics and automation, with a focus on developing intelligent, sensor-driven systems for practical applications. His work centers on integrating computer vision and ultrasonic sensing to create autonomous machines that interact seamlessly with their environment. Siagian’s most cited paper, "Design of automatic mobile trolley using ultrasonic sensors" (2018, 6 citations), introduces a prototype wheeled robot that autonomously follows human movement, eliminating the need for manual pushing—a contribution with direct implications for enhancing convenience in retail and logistics. He further advanced robotic manipulation in "Automated pneumatic vacuum suction robotic arm with computer vision" (2020, 3 citations), where he engineered a 4-degree-of-freedom acrylic arm equipped with a camera and pneumatic suction system. By processing captured images with computer vision algorithms to extract object coordinates, this work demonstrates a low-cost, automated solution for pick-and-place tasks. Siagian’s research bridges the gap between affordable hardware and sophisticated control, offering scalable innovations in service robotics. His contributions, though early in citation impact, highlight a commitment to solving real-world problems through accessible automation technology.
Research Focus
Key Achievements
Top Papers
- 1Design of automatic mobile trolley using ultrasonic sensors6 citations · 2018
- 2Automated pneumatic vacuum suction robotic arm with computer vision3 citations · 2020