Jeevaanand Srinivasan
Papers
1
Total Citations
20
H-Index
1
About
Jeevaanand Srinivasan is a robotics researcher whose work focuses on advancing autonomous navigation in complex, cluttered environments. His primary research areas include path planning algorithms, mobile robotics, and optimization techniques for real-world robotic systems. Srinivasan’s most notable contribution is his 2022 paper, "A Global Path Planning Algorithm for Mobile Robot in Cluttered Environments with an Improved Initial Cost Solution and Convergence Rate," which has garnered 20 citations. In this work, he introduced a novel approach that enhances the efficiency and reliability of global path planning by refining the initial cost estimation and accelerating convergence—critical improvements for robots operating in unpredictable settings. This algorithm addresses a key bottleneck in autonomous navigation, enabling faster and safer movement through obstacles. Srinivasan’s work is recognized for bridging theoretical optimization with practical deployment, making his research valuable for students and engineers developing autonomous systems in logistics, search-and-rescue, and industrial automation. His contributions continue to influence the design of more adaptive and robust robotic navigation frameworks.
Research Focus
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Top Papers
- 1