Craig Vear
Papers
3
Total Citations
27
H-Index
3
About
Craig Vear is a pioneering researcher at the intersection of artificial intelligence, robotics, and creative music practice. His work centers on human-centered AI (HC-AI), exploring how intelligent systems can collaborate with humans in performative and inclusive music-making. Vear’s major contributions include the development of the “Embodied Musicking Robots” project, which investigates how robots can engage in creative, embodied musical interaction rather than simply executing pre-programmed tasks. His most-cited paper, “Creative AI and Musicking Robots” (2021, 13 citations), lays the theoretical and technical groundwork for this approach. More recently, his 2024 paper “Jess+: AI and robotics with inclusive music-making” (11 citations) demonstrates the practical impact of his work by showing how AI-driven digital scores can foster new creative relationships within inclusive music ensembles, making music-making accessible to diverse participants. Vear’s research is notable for its interdisciplinary ambition, merging computer science, musicology, and social inclusion. His work not only advances the field of creative AI but also challenges conventional notions of authorship and agency in human-machine collaboration.
Research Focus
Key Achievements
Top Papers
- 1Creative AI and Musicking Robots13 citations · 2021
- 2Jess+: AI and robotics with inclusive music-making11 citations · 2024
- 3Embodied AI and Musicking Robotics3 citations · 2022