Mithun Das

Papers

Total Citations

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About

Mithun Das is a robotics researcher focused on autonomous navigation, obstacle avoidance, and edge detection systems for industrial and rescue applications. His work centers on developing intelligent, low-cost robotic platforms capable of operating in hazardous or unstructured environments. Das’s most cited paper, “An Ultrasonic Line Follower Robot to Detect Obstacles and Edges for Industrial and Rescue Operations” (2020), has garnered 14 citations and presents a smart autonomous robot that follows a visible line while using ultrasonic sensors to detect obstacles and edges, enhancing safety in industrial settings. His second highly cited work, “An Intelligent Obstacle and Edge Recognition System using Bug Algorithm” (2020, 7 citations), introduces a real-time obstacle-avoiding robot that employs the Bug algorithm to navigate around obstacles and edges without collision, a critical capability for autonomous rescue missions. Together, these contributions demonstrate Das’s impact in practical robotics, with a combined 21 citations highlighting the relevance of his sensor-integrated navigation solutions. His research offers accessible, robust designs for students and engineers interested in autonomous systems, bridging theory and real-world deployment in challenging environments.