Papers
1
Total Citations
7
H-Index
1
About
Khan Salman is a robotics researcher whose work centers on autonomous navigation and embedded systems, with a particular focus on intelligent obstacle avoidance mechanisms. His most-cited paper, "Design of an Indicative Featured and Speed Controlled Obstacle Avoiding Robot" (2019, 7 citations), presents a foundational contribution to mobile robotics by integrating Arduino UNO and Adafruit Motor Shield technologies. In this work, Salman developed a robotic unit capable of real-time object detection and autonomous path planning, where the system makes navigational decisions through code written in the Arduino IDE. The robot's ability to detect obstacles in its course and execute speed-controlled maneuvers around them demonstrates Salman's expertise in sensor integration and control algorithms. While his citation count reflects the early-stage impact of his work, the practical, hands-on nature of his research—emphasizing accessible hardware platforms and clear implementation methodologies—makes it particularly valuable for students and emerging researchers in robotics. Salman's approach bridges theoretical concepts in autonomous navigation with tangible, reproducible robotic systems, offering a template for educational robotics and low-cost automation solutions.
Research Focus
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Top Papers
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