Mohd Muzafar Ismail
Papers
1
Total Citations
2
H-Index
1
About
Mohd Muzafar Ismail is a researcher whose work lies at the intersection of robotics, autonomous navigation, and pattern recognition. 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 interpret their environment through shape-based visual cues, allowing for more intuitive and autonomous movement. This contribution addresses a critical challenge in robotics: how machines can perceive and navigate real-world spaces without constant human input. While his citation count is modest, the foundational nature of his work on shape recognition for automatic navigation holds significant potential for applications in service robotics, industrial automation, and assistive technologies. Ismail’s research reflects a commitment to bridging the gap between visual perception and robotic action, a key step toward more intelligent and self-sufficient machines. His efforts contribute to the broader goal of creating robots that can operate seamlessly in human-centered environments, making him a noteworthy figure in the ongoing development of autonomous systems.
Research Focus
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Top Papers
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