Jaydeep Kshirsagar
Papers
1
Total Citations
19
H-Index
1
About
Jaydeep Kshirsagar is a researcher whose work lies at the intersection of robotics, autonomous navigation, and multi-agent systems. His primary focus is on advancing the capabilities of robots operating in unknown or unstructured environments, with a particular emphasis on the critical challenge of Simultaneous Localization and Mapping (SLAM). Kshirsagar’s most influential contribution is his comprehensive 2018 survey on the implementation of multi-robot SLAM, which has garnered 19 citations. This work systematically analyzes how teams of robots can collaboratively construct a map of an unfamiliar environment while simultaneously determining their own positions and orientations within it—a fundamental problem for autonomous exploration, search-and-rescue, and industrial automation. By synthesizing diverse algorithmic approaches and practical implementation strategies, Kshirsagar’s survey has served as a key reference for researchers and engineers seeking to deploy robust, scalable multi-robot systems. His research addresses the core challenge that any robot, when presented with an unknown space, must first build a map and localize itself before it can effectively traverse and interact with its surroundings. Through his focused work on multi-robot SLAM, Kshirsagar has made a notable contribution to the foundational technologies enabling autonomous navigation in complex, real-world environments.
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Top Papers
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