Anupam Choudhary
Papers
2
Total Citations
30
H-Index
2
About
Anupam Choudhary’s research focuses on advancing autonomous navigation for non-holonomic mobile robots—vehicles like cars that cannot move sideways—with a particular emphasis on agricultural applications. His work addresses the critical challenge of guiding these robots through narrow, constrained pathways where traditional path planning often fails. Choudhary’s major contributions include evaluating sensor selection (e.g., depth cameras versus LiDAR) for cost-effective, robust mapping, and analyzing optimal path planning algorithms like RRT* combined with Reeds-Shepp curves to enable smooth, forward-only motion in tight spaces. His most-cited paper, “Evaluation of mapping and path planning for non-holonomic mobile robot navigation in narrow pathway for agricultural application” (2021), has garnered 28 citations, reflecting its practical relevance to precision farming and autonomous field operations. Additionally, his 2020 study on RRT*-based planning for car-like robots, though newer, lays groundwork for efficient navigation in complex environments. Choudhary’s work is notable for bridging theoretical robotics with real-world agricultural needs, offering scalable solutions for autonomous machinery in confined, unstructured settings—a key step toward smarter, more efficient farming.
Research Focus
Key Achievements
Top Papers
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