Mohd. Ammar Khan

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About

Mohd. Ammar Khan is a robotics researcher whose work focuses on the development of autonomous systems for human-robot interaction, with a particular emphasis on human-following robots. His primary research areas include robot control algorithms, human target detection, and obstacle avoidance, aiming to create robots that can seamlessly assist in everyday life and manufacturing environments. Khan’s most notable contributions are detailed in his highly cited paper, "Human Following Robot" (2021), which has garnered 13 citations, and his related work, "Human Following Robot using Ultrasonic Sensor" (2021), with 5 citations. These studies explore the integration of ultrasonic sensors and advanced control strategies to enable robots to accurately track and follow human subjects while navigating dynamic surroundings. His research addresses critical challenges in robotics, such as real-time target identification and safe movement, making his work foundational for applications in service robotics, logistics, and assistive technology. Khan’s achievements highlight his role in advancing practical, sensor-driven robotic systems that enhance human productivity and safety, marking him as an emerging contributor to the field of intelligent robotics.