Angga Rusdinar
Papers
15
Total Citations
96
H-Index
6
About
Angga Rusdinar is an Indonesian robotics and automation researcher whose work spans mobile robotics, autonomous systems, environmental monitoring, and intelligent control. His foundational contributions lie in solving core robotics challenges, most notably simultaneous localization and mapping (SLAM), robot formation control, and autonomous navigation. His early work on particle filter-based SLAM using laser range finders (2010, 13 citations) and vision-based formation control using fuzzy logic and extended Kalman filtering (2012, 15 citations) established him as a methodical contributor to mobile robotics intelligence. Rusdinar has demonstrated a consistent ability to bridge theoretical frameworks with real-world applications, developing systems ranging from RFID-guided automated vehicles and LiDAR-based indoor navigation to quadcopter fire detection platforms. Notably, his research has extended into socially impactful domains, including IoT-enabled river water quality monitoring for Indonesia's critically polluted Citarum watershed and UV-C disinfection robots developed in response to the COVID-19 pandemic. With cumulative citations exceeding 85 across his published work, Rusdinar represents a versatile engineering researcher whose contributions address both foundational robotics problems and pressing societal challenges within the Indonesian and broader Southeast Asian context.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6ANN Design Model to Recognize The Direction of Multi-Robot AGV7 citations · 2021
- 7Lidar Application for Mapping and Robot Navigation on Closed Environment6 citations · 2018
- 8
- 9
- 10