Yaqub Aris Prabowo
Papers
5
Total Citations
35
H-Index
4
About
Yaqub Aris Prabowo is a leading researcher in the field of robotic olfaction, specializing in gas source localization and mapping using autonomous systems. His work addresses the critical challenge of detecting hazardous gas leaks in complex, real-world environments—from cluttered outdoor spaces to large indoor areas. Prabowo’s major contributions include pioneering the integration of Bayesian inference with anemotaxis for probabilistic gas source localization, which has proven effective even in environments where gas movement is unpredictable due to wind and obstacles. He has also advanced multi-robot coordination strategies, such as combining Adaptive Voronoi-PSO with Bayesian methods for simultaneous gas source localization and mapping. His most cited paper (13 citations) demonstrates a novel probabilistic model for outdoor gas source localization, while his 2022 work on Rapidly Exploring Random Trees for hazardous gas exploration has garnered 9 citations. Prabowo’s research, with over 35 total citations, is instrumental in developing autonomous systems for industrial safety and environmental monitoring, making him a key figure in the intersection of robotics, probabilistic modeling, and gas sensing.
Research Focus
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