Pedro Ferreira

Loughborough University, Intelligent Automation (United States)

Papers

16

Total Citations

296

H-Index

9

About

No biography available yet.

Research Focus

Computer science16 · 296 citations
Artificial intelligence15 · 294 citations
Robot13 · 276 citations
Human–computer interaction10 · 265 citations
Human–robot interaction8 · 245 citations
Machine learning4 · 178 citations
Psychology6 · 163 citations
Electroencephalography3 · 150 citations
Engineering10 · 143 citations
Artificial neural network2 · 122 citations
Probabilistic logic2 · 122 citations
Task (project management)6 · 122 citations

Key Achievements

9
H-Index
16
Papers
296
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
EEG based arm movement intention recognition towards enhanced safety in symbiotic Human-Robot Collaboration
113 citations · 2021
📈 Most Prolific Year: 2021 (6 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Loughborough University, Intelligent Automation (United States)

Top Papers

  1. 1
    EEG based arm movement intention recognition towards enhanced safety in symbiotic Human-Robot Collaboration
    113 citations · 2021
  2. 2
    An adaptive human sensor framework for human–robot collaboration
    45 citations · 2021
  3. 3
    Feasibility of Detecting Potential Emergencies in Symbiotic Human-Robot Collaboration with a mobile EEG
    34 citations · 2021
  4. 4
    Effective Human-Robot Collaboration Through Wearable Sensors
    24 citations · 2020
  5. 5
    An Adaptive Human Sensor Framework for Human-Robot Collaboration
    12 citations · 2021
  6. 6
    An Incremental Learning Approach to Detect Muscular Fatigue in Human– Robot Collaboration
    11 citations · 2023
  7. 7
    Hardness Classification Using Cost-Effective Off-the-Shelf Tactile Sensors Inspired by Mechanoreceptors
    9 citations · 2024
  8. 8
    Stress-induced artificial neuron spiking in diffusive memristors
    9 citations · 2024
  9. 9
    Symbolic-Based Recognition of Contact States for Learning Assembly Skills
    9 citations · 2019
  10. 10
    Data-Driven Modelling of Human-Human Co-Manipulation Using Force and Muscle Surface Electromyogram Activities
    8 citations · 2021

Key Collaborators

NLNiels Lohse11 shared papersABAchim Buerkle9 shared papersAAAli Al-Yacoub8 shared papersTBThomas Bamber6 shared papersEHElla‐Mae Hubbard5 shared papersLJLaura Justham4 shared papersHMHarveen Matharu2 shared papersMBMatthew Beatty2 shared papersMFMyles Flanagan2 shared papersYSYash Sharma2 shared papersWEWilliam Eaton2 shared papersYDY. D. Sharma2 shared papersMZMelanie Zimmer2 shared papersCGClaire Guo1 shared papersPKPeter Kinnell1 shared papersYZYuchen Zhao1 shared papersAAAfrin Akhter1 shared papersMGMey Goh1 shared papersAGA. G. Balanov1 shared papersSLSpartak Ljasenko1 shared papers
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