Mukhamad Aji Putra
Papers
1
Total Citations
17
H-Index
1
About
Mukhamad Aji Putra is a robotics researcher whose work centers on autonomous navigation and visual servoing, with a particular focus on enabling vehicles to perceive and interpret their environment through camera-based systems. His most cited paper, "Visual servoing line following robot: Camera-based line detecting and interpreting" (2017, 17 citations), tackles a core challenge in autonomous driving: how to mimic human driving capability using only visual information. Putra’s contribution lies in developing robust line-detection and interpretation algorithms that allow a car to navigate autonomously by processing real-time camera feeds—an approach that reduces reliance on expensive sensors like LIDAR. This work is foundational for low-cost autonomous platforms, especially in structured environments like factory floors or campus pathways. By emphasizing visual servoing, Putra bridges computer vision and control theory, creating systems that can adapt to changing conditions without human intervention. His research is particularly relevant for students and engineers interested in practical, vision-based robotics, offering a stepping stone toward more complex autonomous systems. With his focus on accessibility and real-world application, Putra’s work continues to inspire new approaches to self-driving technology.
Research Focus
Key Achievements
Top Papers
- 1