Pinto Anugrah

The University of Queensland

Papers

1

Total Citations

3

H-Index

1

About

Pinto Anugrah is a robotics researcher whose work centers on autonomous navigation, control systems, and simultaneous localization and mapping (SLAM) for mobile robots. His most-cited paper, “Control and Navigation of Differential Drive Mobile Robot with PID and Hector SLAM: Simulation and Implementation” (2024), demonstrates a practical integration of PID control with Hector SLAM to enable precise mapping and localization in real-world environments. This contribution addresses critical challenges in transportation and logistics, where reliable robot navigation is essential for efficiency and safety. Anugrah’s research bridges simulation and hardware implementation, offering a replicable framework for developing cost-effective, autonomous differential drive robots. With growing interest in his work, his findings are already informing further studies in field robotics and intelligent transport systems. By combining classical control theory with modern SLAM techniques, Pinto Anugrah is helping to advance the deployment of mobile robots in dynamic, unstructured settings—an achievement that positions him as a promising contributor to the future of autonomous navigation.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Control and Navigation of Differential Drive Mobile Robot with PID and Hector SLAM: Simulation and Implementation
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: The University of Queensland

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago