Daniela Coman

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About

Daniela Coman is a robotics researcher whose work focuses on the modeling, control, and coordination of autonomous mobile systems, particularly walking and soccer-playing robots. Her research integrates mathematical modeling, multi-agent systems, and computational analysis to advance robot locomotion and team-based decision-making. In her highly cited 2007 paper on a 3-DOF walking robot, she introduced a novel systemic approach using Variable Causality Dynamic Systems (VCDS) to model the robot's active leg joints, establishing a framework for stable gait control. That same year, she contributed to multi-robot coordination by proposing a Petri Net-based role selection mechanism for soccer robots, enabling dynamic task allocation among defenders, goalkeepers, and supervisory controllers—a key challenge in real-time multi-agent systems. Her later work (2013) provided a computational analysis of the Cauchy problem for mobile robot kinematics, addressing fundamental issues in localization, path planning, and obstacle avoidance. With her most-cited papers accumulating over 19 citations, Coman’s contributions bridge theoretical modeling and practical control, offering valuable insights for researchers in robotics, control systems, and artificial intelligence.