Sunday Amatare

Papers

Total Citations

H-Index

About

Sunday Amatare is a rising researcher in autonomous robotics, specializing in sensor-driven navigation for unstructured environments. Their work centers on leveraging differential ray tracing to enhance robot perception and path planning, directly addressing critical privacy and safety concerns in autonomous systems. Amatare’s most cited paper, “Testbed Design for Robot Navigation through Differential Ray Tracing” (2024, 7 citations), introduces a novel simulation framework that models light propagation to improve obstacle detection and localization without compromising sensitive data. This is complemented by their two related papers on “RagNAR: Ray-tracing based Navigation for Autonomous Robot in Unstructured Environment” (2024, 4 and 3 citations), which extend the approach to real-world deployment, demonstrating robust navigation in cluttered, dynamic settings. With a combined citation count of 14 within a single year, Amatare’s contributions are gaining rapid traction for their practical impact on field robotics, search-and-rescue, and agricultural automation. Their work stands out for merging computational optics with privacy-preserving design, offering a scalable solution to a pressing challenge in modern autonomy.