Armon Shariati

University of Pennsylvania, Lehigh University

Papers

Total Citations

H-Index

About

Armon Shariati is a researcher whose work lies at the intersection of robotics, sensor fusion, and privacy-aware perception. His most impactful contribution, "Recovering relative orientation and scale from visual odometry and ranging radio measurements" (11 citations), introduces a novel method for estimating the relative pose of multiple moving platforms by fusing visual odometry with radio-based distance measurements—a critical capability for multi-robot coordination and collaborative mapping. Shariati also pioneers privacy-preserving ego-motion estimation, as demonstrated in his 2020 paper (6 citations), which explores using extremely low-resolution cameras to perform visual-inertial odometry without capturing identifiable visual details, addressing growing concerns about surveillance in AR/VR and consumer robotics. Additionally, his work on the RoSCAR platform (2014, 3 citations) provides an accessible, low-cost research and education tool based on a 1/10-scale race car, integrating desktop-class computing, odometry, and RGB-D sensing. Through these contributions, Shariati advances both the technical capabilities and ethical considerations of autonomous systems, making his research relevant for students and engineers working on multi-agent systems, privacy, and educational robotics.