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
Top Papers
- 1
- 2
- 3Future Service in Industry 5.0103 citations · 2019
- 4Mobile robot localization in indoor environment55 citations · 1997
- 5Hand gesture recognition using K-means clustering and Support Vector Machine41 citations · 2018
- 6Autonomous UAV System Development for Payload Dropping Mission38 citations · 2015
- 7Humanoid Robot Path Planning and Rerouting Using A-Star Search Algorithm36 citations · 2019
- 8
- 9Predictive digital twins for autonomous surface vessels30 citations · 2023
- 10
Faculty & Researchers
…