Muhamad Arif Pazil
Papers
1
Total Citations
2
H-Index
1
About
Muhamad Arif Pazil is a robotics researcher whose work focuses on autonomous navigation and human-robot interaction, particularly through visual perception systems. His most cited paper, "ToGouR: Tour Guide Robot Visualization using Shape Recognition Pattern for Automatic Navigation" (2013), introduces a novel approach to enabling robots to navigate autonomously by recognizing environmental shapes and patterns. This contribution addresses the growing demand for intelligent, self-guiding robots in industrial and service settings, offering a practical solution for real-world deployment. With 2 citations, this work has laid foundational insights for subsequent developments in robot vision and path planning. Pazil’s research is notable for bridging pattern recognition algorithms with robotic mobility, enhancing how machines interpret and move through physical spaces. His achievements reflect a commitment to advancing automation technologies that improve efficiency and safety in human environments. For students and researchers, Pazil’s work exemplifies the integration of computer vision and robotics, offering a clear example of how shape-based navigation can simplify complex autonomous tasks.
Research Focus
Key Achievements
Top Papers
- 1