Sumegh Pramod Thale

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About

Sumegh Pramod Thale is a robotics researcher whose work centers on autonomous navigation, simultaneous localization and mapping (SLAM), and sensor integration. His most-cited paper, "ROS based SLAM implementation for Autonomous navigation using Turtlebot" (2020, 27 citations), demonstrates a practical, open-source approach to enabling robots to navigate unknown environments autonomously. By leveraging the Robot Operating System (ROS) as a framework, Thale implemented SLAM algorithms using the Gmapping package, fusing laser and odometry data to create accurate maps. The work, simulated in Gazebo and visualized with Rviz, provides a replicable pipeline for Turtlebot platforms, making it a valuable resource for students and researchers entering the field of mobile robotics. Thale’s contributions bridge simulation and real-world deployment, offering a clear methodology for autonomous navigation that has been cited as a foundational reference for subsequent studies in ROS-based SLAM. His research underscores the importance of accessible, modular frameworks in advancing robotics education and prototyping, with his work serving as a stepping stone for those exploring sensor fusion and path planning in autonomous systems.