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About

Hanif Fakhrurroja is a leading researcher in the field of Human-Robot Interaction (HRI), with a specific focus on making robotic communication more intuitive and accessible. His work centers on developing multimodal control systems that integrate Indonesian speech recognition, hand gesture recognition, and dialogue management to enable seamless interaction between humans and humanoid robots. Fakhrurroja’s most influential paper, "Hand gesture recognition using K-means clustering and Support Vector Machine" (2018, 41 citations), established a foundational method for non-verbal robot control, particularly benefiting users with disabilities. He further advanced the field by combining speech and gesture inputs in "Integration of Indonesian Speech and Hand Gesture Recognition for Controlling Humanoid Robot" (2018, 12 citations), and by incorporating speaker recognition for secure voice activation. His recent contributions to dialogue management, including the use of reinforcement learning and sentence similarity comparison, address the critical challenge of enabling robots to understand novel commands and adapt to new contexts. With a cumulative citation count exceeding 70, Fakhrurroja’s research is pivotal in creating more natural, inclusive, and adaptive robotic systems, with direct applications in assistive technology and service robotics.