Bhakti Yudho Suprapto
Papers
12
Total Citations
91
H-Index
4
About
Bhakti Yudho Suprapto is a leading researcher in intelligent robotics and human-robot interaction, with a focus on real-time perception and control systems. His most cited work, "Real-Time Implementation of Face Recognition and Emotion Recognition in a Humanoid Robot Using a Convolutional Neural Network" (48 citations), pioneered the integration of facial and emotion recognition into live humanoid systems—a significant advancement over prior separate approaches. Suprapto has also made key contributions to autonomous underwater vehicle (AUV) control, developing PID-based position control systems for underwater exploration. His research extends to mobile robot navigation, where he has innovated dynamic facial pattern recognition and facial landmarks detection for follower robots, and to service robotics, with work on Type-2 fuzzy logic controllers for steering and Indonesian-language human-robot communication using deep bidirectional LSTM networks. With over a dozen publications and a growing citation impact, Suprapto’s work bridges computer vision, control theory, and natural language processing to create more responsive, autonomous robots. His achievements demonstrate a commitment to practical, real-world deployment, from fire detection systems to wheeled humanoid movement control, making him a notable figure in advancing intelligent robotic systems for service and exploration.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Robot movement controller based on dynamic facial pattern recognition7 citations · 2021
- 4
- 5
- 6
- 7
- 8Speech Recognition for Intelligent System in Service Robots: A Review2 citations · 2024
- 9
- 10