Yonatan Silverman

Papers

Total Citations

190

H-Index

About

Yonatan Silverman is a roboticist whose work bridges bio-inspired sensing and autonomous information acquisition. His primary research areas include active perception, ergodic exploration, and electrosense—the use of electric fields for underwater sensing, inspired by weakly electric fish. Silverman's most impactful contribution is his 2015 paper on "Ergodic Exploration of Distributed Information" (127 citations), which introduced a trajectory synthesis technique that uses ergodicity to guide autonomous robots toward unexplored regions, effectively closing the loop between sensing and motion. This work has become foundational in active search and information-driven robotics. He also developed an underwater electrosense robot that uses perturbations of a self-generated electric field to localize and map objects, drawing directly from biological electrolocation. His 2012 and 2013 papers on optimal planning for information acquisition and electrosense-based localization (24 and 15 citations, respectively) further demonstrate his ability to merge theoretical control with practical sensing. Silverman's research is notable for its elegant fusion of biology, estimation theory, and robotics, offering students a compelling model of how natural systems can inspire principled algorithms for autonomous exploration in challenging environments.