Tanjim Mahmud
Papers
1
Total Citations
29
H-Index
1
About
Dr. Tanjim Mahmud is a prominent researcher in robotics and artificial intelligence, with a focused expertise in sensor-based autonomous systems and intelligent control mechanisms. His most cited work, "Design and Implementation of an Ultrasonic Sensor-Based Obstacle Avoidance System for Arduino Robots" (2023, 29 citations), represents a significant contribution to practical robotics engineering. In this study, Mahmud developed an innovative obstacle avoidance robot that leverages ultrasonic sensing and AI-driven algorithms to enhance navigational safety and autonomy. His system addresses critical challenges in road accident prevention by enabling real-time environmental perception and adaptive response, demonstrating how low-cost, accessible platforms like Arduino can be integrated with sophisticated control logic. This work has been influential in bridging the gap between theoretical AI concepts and deployable robotic solutions, inspiring further research in intelligent transportation and assistive robotics. Mahmud’s contributions underscore his commitment to creating safer, more efficient autonomous systems, and his research continues to shape the development of smart, sensor-driven robotic applications for real-world scenarios.
Research Focus
Key Achievements
Top Papers
- 1