R. Sridhara
Papers
1
Total Citations
7
H-Index
1
About
Dr. R. Sridhara is a leading researcher in autonomous navigation and intelligent robotic systems, with a focus on real-time collision avoidance and computational efficiency. Their most-cited work, "Collision-Free Trajectory Planning of Mobile Robots by Integrating Deep Reinforcement Learning and Model Predictive Control" (2023, 7 citations), introduces a novel hybrid framework that combines the adaptive decision-making of deep reinforcement learning with the predictive precision of model predictive control. This approach enables mobile robots to navigate dynamically changing environments while maintaining both safety and speed—a critical advancement for applications in warehouse logistics, autonomous vehicles, and service robotics. By addressing the trade-off between real-time performance and robust obstacle avoidance, Sridhara’s work has laid the groundwork for more intelligent and responsive robotic systems. Their contributions are particularly notable for bridging the gap between learning-based and model-based control methods, offering a scalable solution for complex navigation tasks. With a growing citation impact, Dr. Sridhara continues to shape the future of autonomous mobility, making their research essential reading for students and engineers working at the intersection of robotics, control theory, and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1