Pratik Kadam

Aditya Birla (India)

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

1
H-Index
1
Papers
27
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
ROS based SLAM implementation for Autonomous navigation using Turtlebot
27 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Aditya Birla (India)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago