Aan Aria Nanda
Papers
1
Total Citations
4
H-Index
1
About
Aan Aria Nanda is a robotics researcher whose work focuses on advancing autonomous navigation for mobile robots, particularly in indoor environments. His key research areas include path planning algorithms, sensor-based localization, and control systems for differential drive robots. Nanda’s most notable contribution is his experimental analysis of path planning strategies, where he integrated the Dijkstra algorithm for global path planning with the Follow the Carrot method for local trajectory tracking. This work, published in 2021 and cited 4 times, demonstrated that Dijkstra’s algorithm achieves high accuracy and precision for indoor delivery robots, offering a practical solution for real-world logistics automation. By systematically comparing algorithmic performance, Nanda provided valuable insights into optimizing robot navigation efficiency and reliability. His research bridges theoretical algorithm design with hands-on experimental validation, making it relevant for students and engineers developing autonomous systems. Nanda’s work contributes to the growing field of service robotics, where precise and robust navigation is critical for applications in warehouses, hospitals, and smart homes.
Research Focus
Key Achievements
Top Papers
- 1