Agung Nugroho Jati
Papers
11
Total Citations
89
H-Index
5
About
Agung Nugroho Jati is a robotics researcher specializing in autonomous mobile robot navigation, localization, and multi-robot coordination. His most significant contribution lies in advancing Adaptive Monte Carlo Localization (AMCL) for mobile sensor systems, integrating particle filters with Kullback-Leibler Distance sampling to accelerate localization in unknown environments—work that has earned 19 citations. He has also made impactful contributions to Monte Carlo Localization implementation on Robot Operating System (ROS), demonstrating its effectiveness for global localization challenges (17 citations). Jati’s research extends to practical robotics, including depth-first search algorithms for line maze solver robots (15 citations) and multi-robot system coordination for wall-follower robot groups (9 citations). He has explored mapping algorithms using ultrasonic and compass sensors (8 citations) and point cloud mapping with visual sensors on Raspberry Pi-based mobile robots (4 citations). Notably, his recent work on collaborative ground and aerial robots for hazard mapping (2023) showcases his ongoing innovation in heterogeneous robotic systems. With over 87 total citations across his publications, Jati’s research bridges theoretical localization methods with real-world robotic applications, making him a notable figure in autonomous systems and multi-robot coordination.
Research Focus
Key Achievements
Top Papers
- 1
- 2A study of Monte Carlo localization on robot operating system17 citations · 2016
- 3Realization of depth first search algorithm on line maze solver robot15 citations · 2017
- 4
- 5
- 6Coordination control for simple autonomous mobile robot4 citations · 2017
- 7
- 8
- 9
- 10AM-BO: Single propulsive method amphibious robot3 citations · 2017