Neill Skelly
Papers
1
Total Citations
5
H-Index
1
About
Neill Skelly is a pioneering researcher at the intersection of robotics, music, and human-computer interaction, with a primary focus on robotic chordophones—stringed instruments played by machines. His most-cited work, "Improving Robotic Chordophones with Closed-Loop Embedded Audio Feedback Systems" (2017), has garnered 5 citations and represents a key contribution to the field of robotic musicianship. In this paper, Skelly introduces a closed-loop feedback system that enables robotic instruments to self-correct and refine their sound in real time, addressing a longstanding challenge in creating expressive, autonomous musical machines. This work bridges engineering and art, offering a novel approach to embedding adaptive audio processing directly into robotic hardware. Skelly’s research has implications for interactive performance, sound design, and the future of human-robot collaboration in creative domains. While his citation count is modest, his contributions are notable for their technical innovation and interdisciplinary reach, inspiring further exploration into how machines can learn to play music with nuance and responsiveness. Skelly’s work stands as a testament to the potential of embedded systems to transform robotic artistry.
Research Focus
Key Achievements
Top Papers
- 1