Papers

3

Total Citations

27

H-Index

3

About

Marcelo Cicconet is a researcher at the intersection of robotics, music, and human-computer interaction. His work focuses on enabling fluid, real-time collaboration between humans and robotic musicians, with a particular emphasis on the role of visual communication. Cicconet’s major contribution lies in demonstrating how visual cues—such as a human percussionist’s gestures—can be used by a robot to anticipate and synchronize with a musical partner, a critical challenge in time-sensitive performance. His most cited paper, "Human-Robot Percussion Ensemble: Anticipation on the Basis of Visual Cues" (2013, 14 citations), along with related works like "Developing and Composing for a Robotic Musician" (2012) and "Visual Cues-Based Anticipation for Percussionist-Robot Interaction" (2012), collectively establish a framework for designing interactive robotic musicians that can respond to subtle human cues. By exploring both the technical development of robotic systems and the compositional possibilities they afford, Cicconet has helped pioneer a new mode of artistic expression, where robots are not just tools but collaborative partners in live performance.

Research Focus

Key Achievements

3
H-Index
3
Papers
27
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Human-Robot Percussion Ensemble: Anticipation on the Basis of Visual Cues
14 citations · 2013
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Georgia Institute of Technology, Instituto Nacional de Matemática Pura e Aplicada

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago