Mihir Mangesh Prabhu

Aditya Birla (India), Chennai Mathematical Institute

Papers

Total Citations

H-Index

About

Mihir Mangesh Prabhu is a robotics researcher whose work bridges autonomous navigation and soft robotics, with a focus on creating more adaptable and intelligent robotic systems. His most impactful contribution, "ROS based SLAM implementation for Autonomous navigation using Turtlebot" (2020), has garnered 27 citations, demonstrating its significance in the field. This paper provides a practical framework for autonomous robot navigation by implementing SLAM (Simultaneous Localization and Mapping) algorithms using the Robot Operating System (ROS), with simulations in Gazebo and data visualization in Rviz. By leveraging the Gmapping package and sensor data from lasers and odometry, Prabhu offers a replicable methodology that has become a valuable resource for researchers and students working on mobile robot autonomy. In parallel, Prabhu explores the mechanics of soft robotics in his work "Assessment of contact characteristics of soft fingertip applied for multi-profile grasping" (2018, 3 citations). This experimental study investigates contact parameters for soft hemispherical fingertips against various target profiles, providing essential insights for designing soft robotic grippers that can conform to different geometries. His research is particularly relevant for applications requiring delicate or adaptive grasping. Together, these contributions highlight Prabhu's dual expertise in both software-driven autonomous systems and hardware-focused soft robotics, making his work a bridge between practical implementation and foundational mechanical understanding.