Hilmi Fadli
Papers
2
Total Citations
14
H-Index
2
About
Hilmi Fadli is a robotics researcher whose work centers on the motion control and human-robot interaction of humanoid robots, with a particular focus on the NAO platform. His major contributions lie in developing accessible methods for robot control, notably through his 2017 paper on human gesture imitation using a Kinect sensor and inverse kinematics. This work, which has garnered 12 citations, addresses a core challenge in robotics: enabling robots to mimic human movements intuitively without complex programming. Fadli’s approach simplifies the transfer of human motion to a bipedal robot, enhancing its ability to navigate diverse terrains and interact naturally with people. In his earlier 2016 study on walking pattern and trajectory compensator design, he tackled the fundamental issue of maintaining stability and balance in humanoid locomotion, a critical hurdle for real-world deployment. Though his citation counts are modest, Fadli’s research contributes to the foundational engineering that makes humanoid robots more practical and user-friendly, bridging the gap between theoretical control systems and tangible, imitative behavior. His work is particularly valuable for students and researchers exploring low-cost, sensor-based methods for advancing humanoid robotics.
Research Focus
Key Achievements
Top Papers
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