Hendawan Soebhakti

Universitas Batam, Universitas Riau Kepulauan, Politeknik Negeri Batam

Papers

Total Citations

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About

Hendawan Soebhakti is a robotics researcher whose work bridges computer vision, rehabilitation engineering, and autonomous navigation. His primary research areas include real-time object detection for mobile robotics, wearable sensor systems for biomedical applications, and sensor-based obstacle avoidance. Soebhakti’s most cited work, “The Real-Time Object Detection System on Mobile Soccer Robot using YOLO v3” (2019, 16 citations), advanced neural network-based vision for soccer robots, replacing traditional color filtering with deep learning to detect balls, goals, and field lines. In rehabilitation robotics, his 2021 study on “Real-Time Identification of Knee Joint Walking Gait” (9 citations) introduced wearable sensors to capture unique walking gaits, a foundational step for developing lower-limb exoskeletons. He has also contributed to autonomous navigation with LiDAR-based obstacle avoidance on TurtleBot3 platforms and early distance measurement using Kinect depth sensors. Soebhakti’s work demonstrates a consistent focus on applying deep learning and sensor fusion to practical robotic systems—from competitive soccer robots to assistive medical devices. His research, though early in citation impact, shows promise in integrating real-time perception with human-robot interaction, making him a notable figure in Indonesian robotics and automation research.