Hanif Arief Wisesa
Papers
1
Total Citations
8
H-Index
1
About
Hanif Arief Wisesa has made significant contributions to the field of odor sensing and robotic localization, with a particular focus on bio-inspired algorithms for environmental monitoring. His research centers on odor source localization—a critical challenge in robotics that combines chemical sensing with autonomous navigation. Wisesa’s most influential work, the 2016 paper “PSO Algorithm for Single and Multiple Odor Sources Localization Problems: Progress and Challenge,” has garnered 8 citations and provides a comprehensive review of particle swarm optimization (PSO) techniques applied to both single and multiple odor source detection. This paper systematically maps the experimental progress and remaining challenges in the field, offering a valuable roadmap for researchers working on robotic olfaction. By integrating odor recognition with localization methods, Wisesa’s work advances the practical deployment of autonomous systems for applications such as hazardous material detection, environmental pollution monitoring, and search-and-rescue operations. His contributions highlight the intersection of swarm intelligence and sensor technology, establishing a foundation for future innovations in odor-aware robotics.
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Top Papers
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