Tatiane Nogueira

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About

Tatiane Nogueira is a researcher at the forefront of multiagent systems and cooperative robotics, with a specific focus on robotic soccer. Her work centers on enabling robots to learn and execute complex, coordinated plays—known as "setplays"—without the need for hand-coded instructions from human experts. Nogueira’s major contribution is the development of machine learning strategies that allow robotic teams to autonomously generate new, cooperative plans from demonstration. She created the BahiaRT Setplays Collecting Toolkit and the Strategy Planner (SPlanner), tools that allow domain experts, such as soccer fans, to build realistic datasets by watching simulated games. Her most cited work, "BahiaRT Setplays Collecting Toolkit and BahiaRT Gym" (10 citations), directly addresses the challenge of creating realistic datasets for machine learning in multiagent systems. By moving beyond static, pre-programmed strategies, Nogueira’s research has significant implications for any domain requiring adaptive, real-time coordination among autonomous agents, from search-and-rescue to industrial automation. Her work is essential reading for students and researchers interested in learning from demonstration, multi-robot coordination, and the intersection of AI and team sports.