Joan Comas
Papers
1
Total Citations
8
H-Index
1
About
Joan Comas is a pioneering researcher in human-robot interaction and interactive entertainment, best known for bridging the gap between robotics and artistic expression. Their most-cited work, "Aibo JukeBox – A Robot Dance Interactive Experience" (2011), with 8 citations, introduced a novel framework for programming Sony’s Aibo robots to perform synchronized dance routines in response to user-selected music, blending computational creativity with tangible user interfaces. This contribution laid foundational groundwork for affective robotics, demonstrating how robots can engage humans through non-verbal, emotionally resonant performances. Comas’s research explores how interactive systems can foster playful, intuitive connections between people and machines, emphasizing accessibility and joy in human-robot collaboration. Their work has influenced subsequent studies in robot choreography, social robotics, and interactive art installations, inspiring new approaches to designing robots as companions rather than tools. By prioritizing user experience and creative expression, Comas has carved a unique niche at the intersection of robotics, human-computer interaction, and the performing arts, making their research a touchstone for students and scholars interested in the cultural and emotional dimensions of technology.
Research Focus
Key Achievements
Top Papers
- 1Aibo JukeBox – A Robot Dance Interactive Experience8 citations · 2011