Francesco Semeraro

Francesco Semeraro

Manchester University

H-index: 5

North America-United States

About Francesco Semeraro

Francesco Semeraro, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Manchester University, specializes in the field of Human-Robot Collaboration, Human-Robot Interaction, Robotics, Machine Learning, Affective Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications

Simpler rather than Challenging: Design of Non-Dyadic Human-Robot Collaboration to Mediate Human-Human Concurrent Tasks.

Human–robot collaboration and machine learning: A systematic review of recent research

Mood classification through physiological parameters

Unsupervised emotional state classification through physiological parameters for social robotics applications

Francesco Semeraro Information

University

Position

The

Citations(all)

279

Citations(since 2020)

274

Cited By

64

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Francesco Semeraro Skills & Research Interests

Human-Robot Collaboration

Human-Robot Interaction

Robotics

Machine Learning

Affective Computing

Top articles of Francesco Semeraro

Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications

2023/6/18

Francesco Semeraro
Francesco Semeraro

H-Index: 3

Simpler rather than Challenging: Design of Non-Dyadic Human-Robot Collaboration to Mediate Human-Human Concurrent Tasks.

2023/3/26

Francesco Semeraro
Francesco Semeraro

H-Index: 3

Human–robot collaboration and machine learning: A systematic review of recent research

2023/2/1

Francesco Semeraro
Francesco Semeraro

H-Index: 3

Mood classification through physiological parameters

Journal of Ambient Intelligence and Humanized Computing

2021/4

Unsupervised emotional state classification through physiological parameters for social robotics applications

Knowledge-Based Systems

2020/2/29

See List of Professors in Francesco Semeraro University(Manchester University)

Co-Authors

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