Papers
1
Total Citations
2
H-Index
1
About
Ankur Saha is a robotics researcher whose work centers on autonomous navigation, path planning, and the integration of cutting-edge software frameworks with hardware systems. His most-cited paper, "A ROS-2 based Path Planning and Maze Solving of Autonomous Robots" (2024), demonstrates a practical approach to building self-driving robots that can efficiently navigate complex environments. By combining sophisticated computer vision algorithms with the ROS2 middleware, Saha’s research bridges the gap between simulation and real-world deployment. His methodology involves using Fusion 360 for robot modeling and ROS2 launch files to initialize sensor and control nodes, ensuring robust and scalable system architecture. Though early in his career, with 2 citations on this foundational work, Saha’s contributions are significant for students and researchers interested in accessible, open-source robotics. His focus on optimal path achievement in maze-solving scenarios highlights a commitment to efficiency and real-time decision-making, making his work a valuable resource for those exploring autonomous systems, sensor integration, and the practical implementation of ROS2 in educational and research settings.
Research Focus
Key Achievements
Top Papers
- 1A ROS-2 based Path Planning and Maze Solving of Autonomous Robots2 citations · 2024