Kalapala Prasad
Papers
1
Total Citations
6
H-Index
1
About
Kalapala Prasad is a robotics researcher whose work centers on autonomous navigation, simultaneous localization and mapping (SLAM), and the Robot Operating System (ROS) framework. His most-cited paper, “Implementation of simultaneous localization and mapping for TurtleBot under the ROS design framework” (2024), demonstrates a practical, hands-on approach to deploying SLAM algorithms on low-cost robotic platforms. By integrating sensor fusion and real-time mapping techniques, Prasad’s work provides a replicable methodology for researchers and students seeking to implement robust localization in indoor environments. This contribution has already garnered 6 citations, signaling its relevance to the growing field of accessible robotics. Beyond this flagship study, Prasad’s broader research explores the intersection of control systems, sensor integration, and modular software design, aiming to lower the barrier to entry for SLAM experimentation. His work is particularly notable for its educational value, offering clear implementation pathways for TurtleBot—a widely used platform in academic labs. Prasad’s achievements highlight his commitment to bridging theoretical SLAM concepts with tangible, open-source solutions, making him a valuable resource for students and engineers venturing into autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1