Koushick Barua

Rangamati Science and Technology University

Papers

Total Citations

H-Index

About

Koushick Barua is a researcher at the forefront of robotics and artificial intelligence, with a focused expertise in sensor-based autonomous systems. His most impactful work centers on the development of intelligent obstacle avoidance mechanisms, particularly for small-scale robotic platforms. Barua’s landmark study, "Design and Implementation of an Ultrasonic Sensor-Based Obstacle Avoidance System for Arduino Robots," has garnered 29 citations, establishing a foundational approach for integrating low-cost ultrasonic sensors with AI-driven decision-making to enhance navigational safety. This work directly addresses critical challenges in road accident prevention by enabling robots to dynamically detect and circumvent obstacles in real time. Through this contribution, Barua has demonstrated a practical pathway for deploying intelligent, reactive systems in safety-critical environments. His research not only advances the field of mobile robotics but also offers scalable solutions for autonomous navigation in congested or hazardous settings. By bridging hardware implementation with algorithmic intelligence, Barua’s work serves as a key reference for engineers and students developing cost-effective, reliable robotic systems for real-world applications.