Mohammad Ramdhani
Papers
1
Total Citations
2
H-Index
1
About
Mohammad Ramdhani is a researcher at the forefront of warehouse robotics and autonomous navigation systems. His work focuses on optimizing robotic movement and path planning in industrial environments, with a particular emphasis on implementing intelligent algorithms to enhance logistical efficiency. His most cited paper, "Design and implementation A* Algorithm on movement system robot in the warehouse" (2019), demonstrates his core contribution: applying the A* pathfinding algorithm to enable warehouse robots to navigate complex storage layouts, dynamically avoid obstacles, and streamline item retrieval and delivery processes. This work addresses the growing demand for automation in multinational electronics companies, offering a practical solution to improve speed and accuracy in warehouse operations. With 2 citations, this foundational study has laid the groundwork for further exploration into algorithm-driven robotics. Ramdhani’s research bridges theoretical computer science and real-world industrial applications, making him a key figure in the evolution of smart logistics. His achievements highlight the transformative potential of AI in robotics, inspiring students and researchers to explore how algorithmic innovation can revolutionize supply chain management and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1