Vicky Barua

Papers

Total Citations

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About

Vicky Barua is a robotics researcher whose work focuses on autonomous navigation, obstacle avoidance, and edge detection systems for industrial and rescue applications. Her key research areas include intelligent robotic control, sensor-based navigation, and the development of autonomous systems capable of operating in complex, hazardous environments. Barua's major contributions are exemplified by her most-cited paper, "An Ultrasonic Line Follower Robot to Detect Obstacles and Edges for Industrial and Rescue Operations" (2020, 14 citations), which presents a smart autonomous robot that uses infrared sensors to follow a predetermined path while simultaneously detecting obstacles and edges—a critical capability for search-and-rescue missions. Her second highly cited work, "An Intelligent Obstacle and Edge Recognition System using Bug Algorithm" (2020, 7 citations), advances real-time obstacle avoidance by implementing the Bug algorithm, enabling robots to dynamically navigate around barriers without collision. Together, these papers have garnered 21 citations, demonstrating their relevance to the field of autonomous robotics. Barua's research is particularly notable for its practical focus on edge recognition and safe navigation, making her work valuable for students and engineers developing robots for industrial automation and emergency response scenarios.