Muhammand Imran
Papers
1
Total Citations
2
H-Index
1
About
Muhammad Imran is a researcher specializing in autonomous mobile robotics, with a particular focus on obstacle detection and avoidance systems for indoor environments. His most-cited work, "Obstacle Detection and Avoidance Methods for Mobile Robot in Indoor Environment" (2024), provides a comprehensive survey of sensor-based and vision-driven techniques that enable robots to navigate safely in cluttered, dynamic spaces. This contribution is critical for advancing real-world applications in service robotics, warehouse automation, and assistive technologies. While his citation count is currently modest, his work addresses a foundational challenge in robotics—ensuring reliable, real-time navigation without human intervention. Imran’s research bridges the gap between theoretical algorithms and practical implementation, offering insights into sensor fusion, path planning, and reactive control strategies. As the field of mobile robotics continues to expand, his survey serves as a valuable resource for students and engineers seeking to understand the state of the art in indoor navigation. With growing interest in autonomous systems, Imran’s contributions are poised to gain further recognition, particularly as indoor robotics becomes integral to smart environments and Industry 4.0.
Research Focus
Key Achievements
Top Papers
- 1