Bambang Tutuko
Papers
19
Total Citations
166
H-Index
8
About
Bambang Tutuko is an Indonesian robotics researcher whose work spans mobile robot navigation, swarm intelligence, and autonomous control systems. With a career dedicated to advancing intelligent robotics, he has made significant contributions to how robots perceive, navigate, and coordinate within complex environments. His most cited work, "Intelligent Robotics Navigation System: Problems, Methods, and Algorithm" (2017, 34 citations), provides a foundational review of navigation approaches across single, multi-robot, and swarm systems, drawing inspiration from biological intelligence. Tutuko has pioneered novel control methodologies, including weightless neural network-based pattern recognition for mobile robots and linear feedback control laws for differential-drive systems, demonstrating a consistent drive to simplify yet optimize robot behavior. His research into swarm robotics is particularly noteworthy, encompassing gas-source detection through mobile olfaction, motion coordination using Interval Type-2 Fuzzy Logic Controllers, and optimized leader-follower trajectory planning via Particle Swarm Optimization. Beyond research, Tutuko demonstrates a commitment to education, extending robotics knowledge to junior high school students in Palembang. Collectively accumulating over 130 citations, his body of work positions him as a meaningful contributor to intelligent robotics in Southeast Asia.
Research Focus
Key Achievements
Top Papers
- 1Intelligent Robotics Navigation System: Problems, Methods, and Algorithm34 citations · 2017
- 2A New Classification Technique in Mobile Robot Navigation17 citations · 2011
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- 5Intelligent Mobile Olfaction of Swarm Robots10 citations · 2013
- 6Motion coordination for swarm robots10 citations · 2014
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- 9A New Navigation of Behavior-Based Olfactory Mobile Robot8 citations · 2013
- 10Pelatihan Pengenalan Aplikasi Robotika pada Siswa SMP Negeri 1 Palembang6 citations · 2019