Shrey Khokhawat
Papers
1
Total Citations
12
H-Index
1
About
Shrey Khokhawat is a researcher whose work lies at the intersection of robotics, data science, and intelligent systems. His primary research focuses on the analysis of time-series data generated by autonomous mobile robots operating in complex, multi-path environments. In his most cited work, "Experimentation and analysis of time series data from multi-path robotic environment" (2015, 12 citations), Khokhawat addresses a critical challenge in robotics: how to effectively process and interpret the continuous streams of real-time environmental data that robots collect during exploration. By designing and analyzing a series of experiments, he provides foundational insights into the patterns and behaviors of robotic data in non-linear settings. This contribution is particularly valuable for researchers working on robot navigation, environmental mapping, and autonomous decision-making. Khokhawat’s work helps bridge the gap between raw sensor data and actionable intelligence, enabling more robust and adaptive robotic systems. His research is a stepping stone for students and engineers aiming to improve how robots understand and interact with the physical world, making his contributions both practical and forward-looking in the rapidly evolving field of autonomous systems.
Research Focus
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Top Papers
- 1