Iris Sattolo

Universidad de Morón

Papers

3

Total Citations

21

H-Index

3

About

Iris Sattolo is a researcher whose work sits at the compelling intersection of neurotechnology, human-robot interaction, and biomedical signal processing. Her research focuses primarily on brain-computer interfaces (BCIs) and their practical application in robotic control systems, exploring how bio-electrical signals generated by the human brain can be harnessed to command and communicate with robotic systems in real time. Sattolo's most significant contributions center on developing frameworks that enable users to control robots through cerebral biosignals, including groundbreaking work on remote robot operation via internet-connected brain-machine interfaces. Her 2013 paper, "Robot Control on the Basis of Bio-electrical Signals," stands as her most cited work with 11 citations, while her earlier Spanish-language publication on internet-mediated remote robot control (2011) has garnered 7 citations, reflecting international reach across both English and Spanish-speaking research communities. What distinguishes Sattolo's work is its translational ambition — bridging laboratory neuroscience with real-world assistive technologies that could profoundly benefit individuals with severe motor disabilities. By leveraging commercially available BCI interfaces and adapting them for remote robotic applications, her research opens pathways toward greater human autonomy and accessibility through technology-mediated communication.

Research Focus

Key Achievements

3
H-Index
3
Papers
21
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Robot Control on the Basis of Bio-electrical Signals
11 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Universidad de Morón

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago