Papers
1
Total Citations
29
H-Index
1
About
Anik Barua is a researcher whose work sits at the intersection of robotics, artificial intelligence, and embedded systems, with a particular focus on practical, sensor-driven automation. His most cited study, "Design and Implementation of an Ultrasonic Sensor-Based Obstacle Avoidance System for Arduino Robots" (2023, 29 citations), exemplifies his hands-on approach to engineering safer autonomous systems. In this work, Barua developed a cost-effective robot that leverages ultrasonic sensing and AI-driven decision-making to navigate environments and avoid collisions—a contribution with direct implications for reducing road accidents and enhancing mobile robot safety. By demonstrating how accessible hardware like Arduino can be paired with intelligent algorithms, his research bridges the gap between theoretical robotics and real-world deployment. Barua’s impact is evident in the growing citation of his work, which serves as a foundational reference for students and engineers building low-cost, reliable obstacle avoidance systems. His achievements highlight a commitment to creating practical, scalable solutions that advance the field of autonomous navigation while remaining accessible to a broad audience of researchers and hobbyists.
Research Focus
Key Achievements
Top Papers
- 1