Papers
1
Total Citations
2
H-Index
1
About
Rohit Sant is a researcher in robotics and autonomous systems, with a focus on 3D perception and path planning for mobile robots. His most-cited work, "Autonomous Robot Navigation: Path Planning on a Detail-Preserving Reduced-Complexity Representation of 3D Point Clouds" (2013), introduces an innovative approach to navigating complex environments by compressing dense 3D point cloud data into a reduced-complexity representation that retains critical geometric details. This method enables efficient, real-time path planning for autonomous robots operating in unstructured or cluttered spaces, bridging the gap between computational efficiency and navigational accuracy. While his citation count (2) reflects a niche but foundational contribution, the paper’s emphasis on preserving detail while reducing complexity has implications for fields like search-and-rescue robotics, autonomous vehicles, and environmental mapping. Sant’s work demonstrates a commitment to solving practical challenges in robot autonomy, particularly in making high-fidelity 3D data usable for real-world navigation. His research underscores the importance of balancing computational constraints with perceptual fidelity, a key challenge in modern robotics.
Research Focus
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Top Papers
- 1