Arga Dwi Pambudi
Sepuluh Nopember Institute of Technology, Universitas Dian Nuswantoro
Papers
2
Total Citations
17
H-Index
2
About
Arga Dwi Pambudi is a researcher whose work bridges the critical intersection of robotics, artificial intelligence, and education. His primary research areas include reinforcement learning, fuzzy logic systems, and mobile robot navigation. Pambudi’s most significant contribution is his 2019 paper, “Reinforcement Point and Fuzzy Input Design of Fuzzy Q-Learning for Mobile Robot Navigation System,” which has garnered 15 citations. This work tackles a fundamental challenge in robotics: minimizing the state space in reinforcement learning for obstacle avoidance. By integrating fuzzy logic, he developed a more efficient method for mobile robots to navigate unpredictable environments without requiring an exhaustive number of predefined states—a practical breakthrough for autonomous systems. Beyond technical innovation, Pambudi is deeply committed to STEM outreach. His 2023 paper on robotics training for high school students at Kolese Loyola Semarang reflects his dedication to inspiring the next generation of engineers in Indonesia, a country experiencing rapid industrial automation. This dual focus—advancing algorithmic efficiency while democratizing robotics education—positions Pambudi as a researcher who not only solves complex problems but also cultivates the talent pipeline needed for future technological growth.
Research Focus
Key Achievements
Top Papers
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