Gajendra Singh
Papers
1
Total Citations
2
H-Index
1
About
Gajendra Singh is a researcher in mobile robotics, with a focused interest in autonomous navigation and path planning. His work addresses the critical challenge of enabling mobile robots to navigate complex indoor environments with precision and efficiency. In his most cited paper, "Path Planning of An Autonomous Mobile Robot With Multiobjective Functions" (2019), Singh systematically evaluates heuristic and deterministic approaches—including A*, D*, and Dijkstra's algorithms—to optimize robot trajectories. He demonstrates how mapping accuracy and environmental constraints directly impact path quality, proposing multiobjective frameworks that balance travel distance, safety, and computational cost. Though early in his citation trajectory, his contributions provide a foundational reference for engineers developing autonomous systems for logistics, service robotics, and industrial automation. Singh’s research bridges theoretical algorithm analysis with practical implementation, offering actionable insights for real-world robot deployment. As autonomous mobile robots become increasingly integral to smart factories and homes, his work on robust, multiobjective path planning remains a valuable resource for students and practitioners seeking to understand the trade-offs in robot navigation.
Research Focus
Key Achievements
Top Papers
- 1