Sabrina Iarlori

About

Sabrina Iarlori is a researcher specializing in human-robot interaction (HRI), brain-computer interfaces (BCIs), and assistive robotics, with a particular focus on enhancing the autonomy and safety of individuals with disabilities. Her most significant contributions center on integrating EEG-based neural signals into robotic control systems, enabling users to actively correct and guide robot behavior in real time. Her pioneering work on smart wheelchair navigation — including error-related potential (ErrP) detection and human-in-the-loop control frameworks — has established her as a notable voice in accessible assistive technology, with her 2021 paper on augmenting robot intelligence via EEG signals garnering 24 citations. Iarlori's research consistently bridges neuroscience and robotics, exploring how passive and active BCI methods affect mental fatigue during extended human-robot cooperation. She has also contributed to ambient assisted living (AAL) technologies for elderly independence and investigated social robots like Pepper in healthcare monitoring contexts. With a body of work spanning over a decade, her cumulative impact across ten highly cited publications reflects a sustained commitment to making robotic systems safer, smarter, and more inclusive for vulnerable populations.

Research Focus

Key Achievements

Top Papers

1. 1
   Augmenting robot intelligence via EEG signals to avoid trajectory planning mistakes of a smart wheelchair

   24 citations · 2021
2. 2
   A human-in-the-loop approach for enhancing mobile robot navigation in presence of obstacles not detected by the sensory set

   15 citations · 2022
3. 3
   AAL Technologies for Independent Life of Elderly People

   14 citations · 2015
4. 4
   Human-in-the-Loop Approach for Enhanced Mobile Robot Navigation

   12 citations · 2022
5. 5
   Mental Fatigue Evaluation for Passive and Active BCI Methods for Wheelchair-Robot During Human-in-the-Loop Control

   10 citations · 2023
6. 6
   Human-in-the-Loop Approach to Safe Navigation of a Smart Wheelchair via Brain Computer Interface

   9 citations · 2021
7. 7
   ErrP Signals Detection for Safe Navigation of a Smart Wheelchair

   8 citations · 2019
8. 8
   Development and experimental validation of algorithms for human–robot interaction in simulated and real scenarios

   7 citations · 2020
9. 9
   Human-robot cooperation via brain computer interface

   6 citations · 2017
10. 10
    An assistive robot in healthcare scenarios requiring monitoring and rules regulation: exploring Pepper use case

    4 citations · 2023

Key Collaborators

Contact & Links