Bambang Tutukoa
Papers
1
Total Citations
3
H-Index
1
About
Bambang Tutukoa is a researcher focused on swarm robotics and bio-inspired coordination, with a particular emphasis on odor source localization in uncertain environments. His most-cited work, "A New Swarm Source Seeking Behavior based-on Pattern Recognition Approach" (2017, 3 citations), introduces a novel framework that leverages pattern recognition to enable low-cost, decentralized robots to collaboratively locate odor sources. This contribution addresses a critical challenge in swarm robotics—achieving effective coordination despite environmental noise and limited individual capabilities. By integrating pattern recognition into swarm behavior, Tutukoa’s approach enhances robustness and scalability, offering a practical pathway for deploying large robot teams in real-world tasks like environmental monitoring or disaster response. While his citation count is modest, his work represents a foundational step in bridging theoretical swarm algorithms with applied sensing, demonstrating potential for future impact in autonomous systems. His research underscores the importance of adaptive, distributed intelligence in overcoming physical and informational uncertainties.
Research Focus
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Top Papers
- 1