Maria Attarian
Maria Attarian is a research scientist at Google DeepMind Robotics and a PhD student at the University of Toronto affiliated with the Vector Institute and the Toronto Intelligent Systems Lab. Her research focuses on robotic manipulation, visual imitation learning, and learning from demonstrations, with particular attention to multi-embodiment grasping and concept and action grounding. She is known for her work on Transporter Networks for robotic manipulation and as a co-author on Geometry Matching for Multi-Embodiment Grasping (GeoMatch), which addresses cross-embodiment grasp transfer.
“Maria Attarian, University of Toronto / Vector Institute / Google DeepMind — Co-author with a dual academic-industry affiliation. Notable because she is also a co-author on GeoMatch (reference [10]), the multi-embodiment grasping method that SeededGrasp builds upon and outperforms.”
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