Danielle Desmond

Papers

Total Citations

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About

Danielle Desmond is a robotics researcher whose work bridges engineering and the arts, with a focus on bio-inspired algorithms and interdisciplinary education. Her most cited paper, "A modified ant colony optimization algorithm for implementation on multi-core robots" (2015, 9 citations), adapts the Ant Colony Optimization (ACO) algorithm—a bio-mimetic approach modeled on ants’ pathfinding behavior—for small-scale, multi-core robotic systems. This contribution advances the practical deployment of evolutionary algorithms in resource-constrained robotics, offering a scalable solution for real-time navigation and coordination. In a complementary vein, her paper "Robotic football dance team: An engineering Fine-Arts interdisciplinary learning experience" (2016, 3 citations) showcases her commitment to merging STEM with the liberal arts, creating a collaborative project where robotics and choreography intersect. This work highlights the educational value of breaking down disciplinary silos, fostering creativity and technical skill in tandem. Desmond’s research, though modest in citation count, demonstrates a unique vision: applying algorithmic efficiency to robotics while championing interdisciplinary learning. Her efforts offer a blueprint for integrating artistic expression into engineering education, inspiring students to explore robotics beyond conventional boundaries.