Athul Krishna M J
Papers
3
Total Citations
10
H-Index
2
About
Athul Krishna M J is a rising researcher in autonomous robotics, with a focused expertise in integrating Robot Operating System (ROS/ROS2) frameworks with advanced computer vision for real-world mobile robot applications. His work centers on enabling intelligent navigation and perception in wheeled platforms, particularly the TurtleBot3. His most cited paper (5 citations, 2024) demonstrates a complete pipeline for autonomous navigation by integrating the Nav2 stack within ROS2, validated across Gazebo simulations, RViz visualization, and physical environments. Expanding this capability, he developed a ROS-enabled wheeled robot that employs YOLOv5 object detection for automated fruit sorting, combining map building with navigation to create a functional agricultural sorting system (3 citations, 2024). Further refining robustness, his research on obstacle avoidance for the TurtleBot3 Burger addresses critical challenges in dynamic, real-world scenarios (2 citations, 2024). Collectively, Athul’s contributions provide practical, open-source frameworks that bridge simulation and deployment, offering reproducible solutions for autonomous navigation and perception-driven manipulation. His work is foundational for students and engineers advancing service robotics, demonstrating how to effectively merge ROS2, Nav2, and deep learning for tangible robotic autonomy.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3