Aji Arya Dewangga
Papers
1
Total Citations
2
H-Index
1
About
Dr. Aji Arya Dewangga is a rising Indonesian roboticist whose work bridges reinforcement learning and embedded systems for autonomous navigation. His most-cited contribution, "ROBOT OBSTACLE AVOIDANCE DENGAN ALGORITMA Q-LEARNING" (2021), demonstrates a pioneering application of Q-learning—a model-free reinforcement learning algorithm—to wheeled obstacle avoidance robots. By integrating five HC-SR04 ultrasonic sensors with an ATMega2560 microcontroller on the Arduino Mega2560 platform, Dewangga created a prototype that learns to navigate dynamic environments without explicit programming. This work, with 2 citations, lays foundational groundwork for low-cost, adaptive robotics in developing nations. His research sits at the intersection of machine learning, sensor fusion, and real-time control systems, offering scalable solutions for autonomous vehicles and service robots. Dewangga’s approach emphasizes practical, hardware-constrained implementations, making advanced AI techniques accessible for educational and industrial prototyping. As a researcher committed to open-source robotics, his contributions inspire students and engineers to explore reinforcement learning beyond simulation, proving that even modest hardware can achieve intelligent behavior through iterative learning.
Research Focus
Key Achievements
Top Papers
- 1ROBOT OBSTACLE AVOIDANCE DENGAN ALGORITMA Q-LEARNING2 citations · 2021