Irfan Khan

Papers

Total Citations

H-Index

About

Irfan Khan is a robotics researcher focused on autonomous navigation and cognitive architectures for intelligent machines. His most cited work, "Design of an Indicative Featured and Speed Controlled Obstacle Avoiding Robot" (2019, 7 citations), presents a practical system using Arduino UNO and Adafruit Motor Shield that enables robots to detect and navigate around obstacles through programmed decision-making. This contribution demonstrates his expertise in embedded systems and real-time control for mobile robotics. Khan also explores advanced artificial intelligence in "An Innovative Cognitive Architecture for Humanoid Robot" (2017, 3 citations), where he addresses the challenge of developing self-learning behaviors in humanoid robots that mimic human cognition. His research bridges the gap between low-level hardware control and high-level cognitive processing, contributing to the growing field of autonomous robotics. While his citation counts reflect an emerging career, Khan's work on obstacle avoidance systems provides foundational knowledge for students and researchers interested in practical robot design, sensor integration, and behavior-based control. His focus on making robots more adaptive and responsive continues to influence educational robotics and autonomous systems development.