Sandeep Srikonda
Papers
1
Total Citations
13
H-Index
1
About
Sandeep Srikonda is a robotics researcher whose work focuses on the intersection of autonomous navigation, control systems, and reinforcement learning. His primary research areas include trajectory tracking for mobile robots, deep reinforcement learning for dynamic control, and the unique challenges of skid-steer vehicle dynamics. Srikonda’s most notable contribution is his 2022 paper, "Deep Reinforcement Learning for Autonomous Dynamic Skid Steer Vehicle Trajectory Tracking," which has garnered 13 citations. This work addresses the complex, nonlinear dynamics of skid-steered wheeled robots—where tire-ground interaction and wheel slip create significant control challenges. By leveraging deep reinforcement learning algorithms, Srikonda developed innovative controllers that outperform traditional methods in handling these nonlinearities, offering a robust solution for autonomous mobile robot control. His research is particularly impactful for applications in off-road robotics, agricultural vehicles, and autonomous ground systems where skid-steer mechanisms are common. Srikonda’s work demonstrates a practical fusion of machine learning and classical control theory, advancing the state of the art in autonomous vehicle trajectory tracking.
Research Focus
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Top Papers
- 1