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About

Bambang Riyanto is a robotics researcher whose work spans mobile robot navigation, swarm coordination, and bio-inspired design. His key research areas include path planning, gas source localization, formation control, and biomimetic robotics. Riyanto’s most cited work, “Dynamic Path Planning for Mobile Robots with Cellular Learning Automata” (2016, 8 citations), introduces a two-stage approach that combines cellular automata for global planning with learning automata for local adaptation, offering a novel solution to real-time obstacle avoidance. In “A Bayesian approach for gas source localization in large indoor environments” (2020, 7 citations), he develops a probabilistic estimator that enables a mobile robot to efficiently locate gas leaks—a contribution with clear applications in disaster response and industrial safety. His earlier review, “Modeling and control of unmanned flying robots” (2011, 4 citations), provides a comprehensive synthesis of model-based control for aerial vehicles, while his work on consensus algorithms (2015, 2 citations) applies pedestrian crowd dynamics to multi-robot formation and obstacle avoidance. Notably, his 2007 study on fish robot body construction (2 citations) explores how hydrodynamic shape and tail frequency optimize thrust speed, bridging biology and engineering. With a total of 23 citations across these five papers, Riyanto demonstrates sustained, interdisciplinary impact in autonomous systems.