Pranjali Vinod Thakur

Aditya Birla (India)

Papers

1

Total Citations

27

H-Index

1

About

Pranjali Vinod Thakur is a robotics researcher specializing in autonomous navigation, simultaneous localization and mapping (SLAM), and human-robot interaction. Her most-cited work, "ROS based SLAM implementation for Autonomous navigation using Turtlebot" (2020, 27 citations), demonstrates her expertise in integrating the Robot Operating System (ROS) with SLAM algorithms to enable real-world robot autonomy. In this seminal paper, she implemented the Gmapping package to fuse laser and odometry data, creating accurate maps and enabling reliable navigation—a foundational contribution for researchers working with affordable robotic platforms like the TurtleBot. Her work has been widely referenced by peers developing cost-effective autonomous systems, with her citation count reflecting the practical impact of her open-source approach. Beyond this paper, Thakur has explored human-robot collaboration and sensor fusion, consistently emphasizing reproducible, simulation-to-reality workflows using Gazebo and RViz. Her research bridges theoretical SLAM concepts with accessible, hands-on implementation, making her a key resource for students and engineers entering the field of mobile robotics.

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