Papers
28
Total Citations
238
H-Index
8
About
Gloria Beraldo is a researcher at the forefront of neurorobotics, assistive robotics, and human-robot interaction, with a body of work that bridges neuroscience, artificial intelligence, and robotics to improve quality of life for diverse populations. Her most significant contributions center on the development of open-source middleware platforms for neurorobotics, most notably ROS-Neuro and its predecessor ROS-Health, which have become foundational tools for integrating brain-machine interfaces (BMIs) with robotic systems, collectively accumulating nearly 60 citations. Her work on shared intelligence for BMI-based robot teleoperation (28 citations) represents a particularly innovative contribution, enabling collaborative control between human neural intent and robotic autonomy. Beraldo has also made meaningful strides in social robotics, developing LEMON, a lightweight facial emotion recognition system for assistive robots (29 citations), and investigating the use of humanoid robots as non-pharmacological interventions for children in clinical settings. Her research extends to inclusive design, exploring brain-robot interfaces for pediatric users and examining how gender influences social robot perception. With a growing citation record exceeding 160 citations, Beraldo's interdisciplinary approach is shaping the future of empathic, accessible, and intelligent assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Shared Intelligence for Robot Teleoperation via BMI28 citations · 2022
- 3ROS-Neuro: An Open-Source Platform for Neurorobotics24 citations · 2022
- 4ROS-health: An open-source framework for neurorobotics16 citations · 2018
- 5
- 6Sex differences in expectations and perception of a social robot14 citations · 2018
- 7
- 8
- 9Towards a Brain-Robot Interface for children8 citations · 2019
- 10ROS-Neuro: implementation of a closed-loop BMI based on motor imagery8 citations · 2020