Ankit Bhadoria
Papers
1
Total Citations
8
H-Index
1
About
Ankit Bhadoria is a researcher whose work lies at the intersection of robotics, path planning, and algorithmic optimization. His most notable contribution, "Optimized Angular A* Algorithm for Global Path Search Based on Neighbor Node Evaluation" (2014), introduces a refined approach to global path planning for autonomous systems. By enhancing the classic A* algorithm with angular evaluation of neighbor nodes, Bhadoria’s method improves computational efficiency and path smoothness—critical for real-world robotic navigation in complex environments. This work has garnered 8 citations, reflecting its relevance among peers exploring efficient motion planning. Bhadoria’s research addresses the fundamental challenge of enabling electromechanical devices to mimic human actions reliably, with applications spanning service robots, industrial automation, and autonomous vehicles. His focus on algorithmic innovation demonstrates a commitment to bridging theoretical computer science and practical robotics. For students and researchers, Bhadoria’s work serves as a valuable reference point for understanding how heuristic search algorithms can be tailored to meet the demands of dynamic, real-world systems, making his contributions a stepping stone for further advances in intelligent navigation.
Research Focus
Key Achievements
Top Papers
- 1