Gabriella Chang

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About

Gabriella Chang is a pioneering researcher at the intersection of robotics, human-computer interaction, and the performing arts. Her work focuses on democratizing robot programming and exploring creative human-robot collaboration. Chang’s major contributions include developing Duplo, a block-based programming environment for two-armed industrial robots, which makes complex robotic control accessible to non-experts without sacrificing functionality. Her comparative study on Duplo’s usability has garnered significant attention for bridging the gap between novice programmers and advanced robotic systems. In parallel, Chang has broken new ground in human-robot choreography, creating a prototype platform where dancers and robots co-create live performances in real time. This work, featured in her 2024 paper, challenges traditional notions of robotic autonomy and artistic expression. With over 2,000 citations across her portfolio, Chang’s research has been recognized with an NSF CAREER Award and featured in major media outlets. Her innovative approach not only advances technical accessibility but also reimagines robots as creative partners, inspiring a new generation of interdisciplinary researchers to explore the artistic potential of intelligent machines.