Simone Ceriani

Papers

Total Citations

155

H-Index

About

Simone Ceriani is a leading researcher in robotics, with a primary focus on autonomous navigation, simultaneous localization and mapping (SLAM), and multi-modal assistive technologies. His seminal work, "Rawseeds ground truth collection systems for indoor self-localization and mapping" (2009, 138 citations), established a foundational benchmark for evaluating SLAM algorithms, providing researchers with reliable ground-truth data that has become a standard reference in the field. Ceriani’s contributions extend to the development of the LURCH autonomous wheelchair, a multi-modal system integrating sensors and control strategies to enhance mobility for individuals with disabilities, as detailed in his 2013 chapter. He has also advanced visual SLAM techniques, notably through his work on single- and multi-camera systems using the Extended Kalman Filter, which improved robustness in complex environments. With over 155 total citations, Ceriani’s research bridges theoretical innovation and practical application, driving progress in autonomous robotics and assistive technology. His achievements underscore a commitment to creating intelligent, accessible systems that navigate and interact with the real world.