Eduardo Reck Miranda

University of Plymouth

Papers

6

Total Citations

26

H-Index

3

About

Eduardo Reck Miranda is a pioneering figure at the intersection of music, artificial intelligence, and robotics. His research focuses on computational evolutionary musicology, affective computing, and the emergent musical behaviors of autonomous social robots. Miranda’s most notable contribution is his groundbreaking work on modeling music cognition through emergent behavior, demonstrated in his highly cited 2008 paper “Emergent songs by social robots” (9 citations). In this study, he programmed a group of interactive autonomous singing robots to spontaneously develop a shared repertoire of songs from scratch, offering profound insights into the origins of musical culture. He also developed Pulsed Melodic Affective Processing (PMAP), a novel method for representing artificial emotions in affective computing through musical structures that can be both computed and listened to, increasing processing transparency. His work on the ORB3 system and the “Musicianship For Robots With Style” project further advances the goal of creating autonomous musical robots capable of integrating with human musical cultures. Miranda’s interdisciplinary approach continues to shape the fields of evolutionary musicology and human-robot interaction.

Research Focus

Key Achievements

3
H-Index
6
Papers
26
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Emergent songs by social robots
9 citations · 2008
📈 Most Prolific Year: 2007 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Plymouth

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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