Sriteja Gone

Papers

Total Citations

H-Index

About

Sriteja Gone is a researcher whose work lies at the intersection of autonomous robotics, computer vision, and human-robot interaction. His most cited paper, "Evaluation of Human Intervention-Based Hybrid Approach for Position and Depth Estimation With Error Correction" (2021, 9 citations), addresses a fundamental challenge in robotics: enabling machines to accurately perceive and navigate alien or unstructured environments. Gone’s key contribution is a hybrid framework that integrates human guidance with automated error correction, significantly improving a robot’s ability to estimate an object’s position and depth (PD) in real time. This approach not only enhances the precision of autonomous navigation but also demonstrates a practical synergy between human intuition and machine learning—a critical step toward safer, more reliable robotic systems in fields like search-and-rescue, space exploration, and industrial automation. By tackling the persistent problem of depth estimation errors, Gone’s work has provided a foundation for more adaptive and resilient robotic control. His research continues to influence how robots perceive and interact with their surroundings, bridging the gap between remote operation and full autonomy.