Surendar Rama Sitaraman
Papers
1
Total Citations
8
H-Index
1
About
Surendar Rama Sitaraman is a leading researcher at the intersection of robotics, artificial intelligence, and autonomous systems. His work focuses on developing intelligent motion planning and navigation frameworks that enable robots to operate reliably in complex, unstructured environments. Sitaraman’s most cited study, “Robotics Automation and Adaptive Motion Planning: A Hybrid Approach using AutoNav, LIDAR-based SLAM, and DenseNet with Leaky ReLU” (2025, 8 citations), introduces a novel hybrid system that integrates AutoNav for real-time path optimization, LIDAR-based SLAM for precise environmental mapping, and a DenseNet architecture enhanced with Leaky ReLU activation for robust obstacle detection and adaptive decision-making. This contribution addresses critical challenges in autonomous navigation, such as dynamic obstacle avoidance and sensor fusion under adverse conditions. Sitaraman’s work is notable for its practical impact on field robotics, including applications in search-and-rescue and industrial automation. His research advances the state of the art in adaptive motion planning, offering scalable solutions that improve both safety and efficiency in autonomous operations.
Research Focus
Key Achievements
Top Papers
- 1