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About

Eva Inaiyah Agustin is a robotics researcher whose work bridges biomechanics, assistive technology, and intelligent control systems. Her research focuses on human-robot interaction, particularly in developing robotic systems that mimic and respond to human movement. Her most cited work, "Robotic Leg Design to Analysis the Human Leg Swing from Motion Capture" (11 citations), demonstrates her expertise in creating biomimetic robotic prototypes—a three-degree-of-freedom leg model with hip, knee, and ankle joints actuated by DC servo motors, designed from motion capture data. She has also contributed to computer vision in robotics, applying PeleeNet for object detection on omnidirectional cameras in robot soccer competitions (5 citations). Agustin's impact extends to assistive technology, where she has developed head-movement-controlled robotic manipulators using visual and gyroscope sensors for meal assistance applications (3 citations). Her work on integrating EMG and force signals for robot-assisted arm training (2 citations) showcases her commitment to rehabilitation robotics. Beyond research, she has engaged in educational outreach, training students in line-follower robots and IoT technologies. With a growing citation record and diverse applications from human gait analysis to assistive robotics, Agustin is establishing herself as a versatile researcher advancing the intersection of biomechanics, computer vision, and human-centered robotics.