Papers

17

Total Citations

190

H-Index

8

About

Carmadi Machbub is a prominent robotics and human-computer interaction researcher whose work sits at the intersection of intelligent systems, autonomous robotics, and multimodal communication. Based on a consistently cited body of scholarship, Machbub has made significant contributions to humanoid robot control, gesture and speech recognition, and computer vision-based tracking. Among his most impactful contributions is his research into natural human-robot interaction, including hand gesture recognition using K-means clustering and Support Vector Machines (41 citations) and the integration of Indonesian speech and gesture recognition for robot control — work that notably addresses accessibility needs for deaf and elderly users. His development of path planning algorithms for humanoid home-assistant robots using A-Star search (36 citations) demonstrates a strong commitment to practical autonomous navigation solutions. Machbub has also advanced humanoid locomotion through Kalman Filter and PD Controller-based gait systems, and explored inverse kinematics for gesture imitation on NAO robots. More recently, his deep learning-enhanced object tracking research reflects a natural evolution toward computer vision applications in surveillance and healthcare robotics. Collectively accumulating over 160 citations, his work offers enduring value to researchers building intelligent, human-centered robotic systems.

Research Focus

Key Achievements

8
H-Index
17
Papers
190
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Hand gesture recognition using K-means clustering and Support Vector Machine
41 citations · 2018
📈 Most Prolific Year: 2018 (7 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Bandung Institute of Technology, Informatics Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago