Parthiba Barua

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About

Dr. Parthiba Barua is a robotics researcher whose work centers on autonomous navigation, obstacle avoidance, and edge detection systems for mobile robots. His most-cited contribution, "An Intelligent Obstacle and Edge Recognition System using Bug Algorithm" (2020), has garnered 7 citations and addresses a fundamental challenge in robotics: enabling autonomous robots to reach their destinations without collisions. Barua’s key innovation lies in integrating the Bug algorithm—a classic path-planning method—with real-time edge and obstacle recognition, allowing robots to dynamically detect hazards and reroute themselves in unstructured environments. This work is particularly valuable for applications in search-and-rescue, industrial automation, and assistive robotics, where reliable navigation is critical. Beyond this paper, Barua’s research contributes to the broader field of intelligent robotic systems, emphasizing practical, low-cost solutions for real-world deployment. His focus on edge detection as a complement to obstacle avoidance highlights a nuanced understanding of environmental perception, making his work a useful reference for students and engineers developing autonomous platforms. With a growing citation footprint, Barua is establishing himself as a thoughtful contributor to the robotics community, bridging theoretical algorithms with tangible, implementable systems.