Ewerton R. Vieira

Rutgers, The State University of New Jersey, Rutgers Sexual and Reproductive Health and Rights

Papers

Total Citations

H-Index

About

Ewerton R. Vieira is a roboticist whose work sits at the intersection of topology and robot control, pioneering new ways to understand and manipulate complex physical systems. His research focuses on leveraging topological data analysis—particularly persistent homology and Morse graphs—to solve fundamental challenges in robotics, from non-prehensile manipulation to global dynamics characterization. In his most cited work, "Persistent Homology for Effective Non-Prehensile Manipulation" (2022, 19 citations), Vieira introduces a novel framework that uses topological features to guide pushing actions in cluttered environments, enabling robots to clear workspaces without grasping. This work has been recognized for its elegant approach to a notoriously difficult problem in manipulation. He further advances the field with "Morse Graphs: Topological Tools for Analyzing the Global Dynamics of Robot Controllers" (2022, 7 citations), which provides a rigorous method for mapping the global behavior of robot controllers. His 2023 paper on data-efficient characterization (3 citations) integrates Gaussian Process surrogates with topological analysis, dramatically reducing the data needed to understand controller dynamics—a breakthrough for closed-box systems. Vieira’s contributions are shaping a new paradigm where topology provides both theoretical insight and practical tools for robust, intelligent robot behavior.