Agus Bejo

Chulalongkorn University, Universitas Gadjah Mada

Papers

Total Citations

H-Index

About

Agus Bejo is a researcher whose work bridges robotics, rehabilitation engineering, and agricultural automation. His key research areas include robotic arm control, rehabilitation robotics, and computer vision for precision agriculture. Bejo’s major contributions include developing a low-cost 6-axis robotic arm controller using a hydraulic system and servo-valves, demonstrating how complex robotic manipulation can be achieved with accessible hardware. More recently, he has pioneered the integration of large language models into upper limb rehabilitation robots, offering a novel approach to improving stroke survivors’ quality of life through adaptive, intelligent therapy. In agriculture, Bejo applied Intel OpenVINO toolkit optimization for edge detection of strawberry ripeness, advancing the capabilities of harvesting robots. His most cited work, on the robotic arm controller (8 citations), showcases his early impact in embedded robotics, while his 2024 rehabilitation paper (4 citations) signals growing influence in human-robot interaction. Bejo’s work is notable for its practical focus on low-cost, deployable solutions, making advanced robotics more accessible for rehabilitation and farming applications—a compelling blend of innovation and real-world utility.