Achmad Rizal
Papers
2
Total Citations
28
H-Index
2
About
Achmad Rizal’s research centers on robotics and control systems, with a particular focus on developing practical, efficient solutions for real-world automation challenges. His most cited work, "Proportional derivative control based robot arm system using Microsoft Kinect" (2013, 26 citations), demonstrates a key contribution: simplifying complex manipulator robot control by integrating accessible sensor technology. This approach reduces computational overhead, making advanced robotic assistance more viable for everyday human tasks. Rizal further explores intelligent navigation in his paper "Design and implementation A* Algorithm on movement system robot in the warehouse" (2019), applying pathfinding algorithms to streamline logistics automation. While his citation counts are modest, his work is notable for its emphasis on bridging theoretical control methods with tangible, low-cost implementations. By prioritizing simplicity and accessibility over high-complexity solutions, Rizal contributes to the democratization of robotics technology, offering pathways for broader adoption in industrial and assistive contexts. His research is particularly relevant for students and engineers seeking to understand how foundational control and pathfinding algorithms can be effectively deployed in practical robotic systems.
Research Focus
Key Achievements
Top Papers
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