Adnan Sabith Taha
Papers
1
Total Citations
2
H-Index
1
About
Adnan Sabith Taha is an emerging researcher in autonomous robotics, with a primary focus on path planning, maze-solving algorithms, and the integration of Robot Operating System 2 (ROS-2) with computer vision. His most cited work, "A ROS-2 based Path Planning and Maze Solving of Autonomous Robots" (2024), demonstrates a novel approach to creating self-driving robots capable of navigating complex environments. By leveraging Fusion 360 for robot modeling and ROS-2 launch files to synchronize sensor and control nodes, Taha’s research bridges simulation and real-world deployment. This work, already garnering 2 citations shortly after publication, highlights his ability to combine theoretical algorithms with practical implementation. Taha’s contributions are particularly notable for advancing accessible, modular robotics frameworks, making sophisticated navigation techniques more reproducible for students and researchers. His achievements underscore a commitment to open-source robotics and efficient autonomous systems, positioning him as a promising voice in the field of intelligent robotic navigation.
Research Focus
Key Achievements
Top Papers
- 1A ROS-2 based Path Planning and Maze Solving of Autonomous Robots2 citations · 2024