Pratik Kadam
Papers
1
Total Citations
27
H-Index
1
About
Pratik Kadam is a robotics researcher whose work centers on autonomous navigation, sensor integration, and the Robot Operating System (ROS). His most-cited paper, "ROS based SLAM implementation for Autonomous navigation using Turtlebot" (2020, 27 citations), demonstrates a practical framework for simultaneous localization and mapping (SLAM) using the Turtlebot platform. By leveraging the Gmapping package with laser and odometry data, Kadam’s approach enables robust map-building and real-time navigation in simulated environments like Gazebo, with Rviz for data visualization. This contribution is foundational for researchers and students entering mobile robotics, offering a clear, replicable methodology for deploying SLAM algorithms. Kadam’s work highlights the accessibility of ROS as a tool for integrating perception and control, making autonomous systems more approachable. With 27 citations, his research has already influenced subsequent studies in low-cost robotic navigation, underscoring his role in advancing practical, open-source solutions for autonomous vehicles and service robots.
Research Focus
Key Achievements
Top Papers
- 1ROS based SLAM implementation for Autonomous navigation using Turtlebot27 citations · 2020