Keywords:
Human-Robot Interaction; Human-Robot mediated Autonomy; Telerobotics and Teleoperation; Behavior-Based Systems; Neurorobotics; Social Robotics; Brain-Machine Interface.
Short profile:
Gloria Beraldo received the M.Sc. degree cum laude in computer science engineering and the Ph.D. in information engineering with Doctor Europaeus mention from the University of Padova, Padua, Italy, in 2017 and 2021, respectively. She was a visiting researcher at École polytechnique fédérale de Lausanne in 2019 and at Institut de Robòtica i Informàtica Industrial, Universitat Politècnica de Catalunya under the TERRINet (European Robotics Research Infrastructures) initiative in 2022.
She is currently a fixed-term researcher at the Institute of Cognitive Sciences and Technologies, Italian National Research Council. She is also a contract professor at the University of Padova.
She won the international Cybathlon BCI Series (paralympic event) as a member of the WHiTeam in 2019 and the Cybathlon 2020 in the BCI discipline.
Her research is focused on exploring and designing novel shared autonomy approaches with particular attention to brain-computer interface (BCI)-driven robotics devices. The high-level user’s intention is directly decoded from his/her brain activity through supervised machine learning techniques and fused with the perception of the robot to achieve advanced forms of human-robot interaction. Her research interests include human–robot interaction, shared control and shared autonomy, telepresence robots, cognitive architectures, neurorobotics, socially assistive robotics, and intelligent systems.
My papers on Google Scholar.
My papers on SCOPUS.
