Bandung Institute of Technology

🇮🇩 ID

Papers

219

Total Citations

1,977

H-Index

18

Researchers

329

About

Bandung Institute of Technology (ITB) stands as one of Indonesia's premier technical universities, with a robotics and AI research portfolio that spans autonomous systems, human-robot interaction, bio-inspired robotics, and intelligent control. With a legacy stretching back to foundational work in mobile robot localization in the late 1990s, ITB has steadily grown into a recognized contributor to the global robotics community, accumulating hundreds of citations across diverse research domains. ITB's researchers have made notable contributions in bio-inspired robotics, including the design of labriform fish robots that replicate pectoral fin locomotion — a paper that has garnered over 100 citations and influenced subsequent aquatic robotics research worldwide. The institute has demonstrated equal depth in autonomous aerial and surface systems, with published work on UAV payload delivery missions, hexacopter-based SLAM, and cutting-edge predictive digital twins for autonomous surface vessels. In humanoid robotics, ITB has contributed path planning algorithms, kinematics modeling for NAO robots, and reinforcement learning-based multi-agent soccer robot systems, reflecting a rich culture of hands-on, competition-driven robotics development. The institute's commitment to intelligent systems is evidenced through research in brain-computer interfaces for robotic wheelchairs, gesture recognition for human-robot interaction, and hardware-accelerated reinforcement learning through the FARANE-Q SoC platform. ITB also bridges robotics with industrial relevance, addressing Industry 5.0 service frameworks and human-robot collaborative assembly line balancing. For prospective students and collaborators, ITB offers an intellectually vibrant environment where embedded systems expertise meets cutting-edge AI, with interdisciplinary opportunities spanning agricultural robotics, autonomous navigation, and adaptive control — all backed by a strong tradition of applied engineering innovation.

Research Focus

Key Achievements

18
H-Index
219
Papers
1,977
Total Citations
329
Faculty & Researchers
🏆 Most Cited Paper
Variation in global chemical composition of PM <sub>2.5</sub> :emerging results from SPARTAN
191 citations · 2016
📊 Avg Citations/Paper: 9
📈 Most Prolific Year: 2023 (25)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Engineering, Mobile robot, Computer vision

Top Papers

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    Future Service in Industry 5.0
    103 citations · 2019
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Faculty & Researchers

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