Swarup Das
Papers
1
Total Citations
1
H-Index
1
About
Swarup Das is a robotics researcher whose work centers on autonomous navigation and path planning for mobile robots. His most-cited paper, "Modified Artificial Potential Field Algorithms for Mobile Robot Path Planning" (2025), introduces a refined approach to a classic robotics challenge—enabling robots to navigate dynamic environments safely and efficiently. By enhancing the traditional artificial potential field method, Das addresses common pitfalls such as local minima and oscillation, offering a more robust solution for real-time obstacle avoidance. This contribution is particularly valuable for applications in warehouse automation, search-and-rescue, and autonomous vehicles. While his citation count is still growing, Das’s early work signals a promising trajectory in advancing practical, computationally efficient algorithms for mobile robotics. His research bridges theoretical optimization with real-world deployment, making it a useful reference for students and engineers developing next-generation autonomous systems.
Research Focus
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Top Papers
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