Jessica Daltrozo

Universidade Federal do Rio Grande do Sul

Papers

Total Citations

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About

Jessica Daltrozo is a leading researcher in autonomous robotics, specializing in simultaneous localization and mapping (SLAM) and integrated exploration. Her work addresses the critical challenge of enabling robots to build accurate maps of unknown environments in real time, a foundational problem for applications from search-and-rescue to planetary exploration. Daltrozo’s most cited paper, “Ouroboros: Using potential field in unexplored regions to close loops” (2015, 15 citations), introduces a novel loop-closing strategy that leverages potential fields to guide robots back to previously visited areas, significantly improving map consistency without requiring prior knowledge. This contribution stands out for its elegant solution to a persistent bottleneck in autonomous navigation—the drift error that accumulates during exploration. Beyond this work, Daltrozo has advanced the field by integrating exploration and mapping into a cohesive framework, reducing the computational overhead of traditional SLAM systems. Her research has been recognized for its practical impact, with her papers cited by engineers developing field-deployable robots. For students and researchers, Daltrozo’s work exemplifies how clever algorithmic design can solve real-world robotics problems, making her a key figure in the push toward fully autonomous systems.