About | Rodrigo Gallardo

Rodrigo A. Gallardo is a researcher working at the intersection of computational design, human–computer interaction, spatial computing, and haptic/AR interfaces. He is a John Haymaker Fellow and Steve Jobs Archive Fellow at MIT, where he is a graduate student in Design Computation and Electrical Engineering and Computer Science (EECS). His research focuses on multimodal guidance systems that combine vision-language models, AR headsets, and wearable haptics to support complex spatial tasks in fabrication, assembly, and learning, as well as AI-driven analysis of movement for skatepark and urban-space design.

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Recent Publications

R. Gallardo, A. H. Kyaw, O. Fishman, “Scene-Aware Urban Design: A Human–AI Recommendation Framework Using Co-Occurrence Embeddings and Vision-Language Models”, in the Proceedings of the Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025), Creative AI Track: Humanity, 2025.

S. Mutis, A. H. Kyaw, R. Gallardo, D. Mykhaylychenko, and E. Demaine, “Self-Folding Modular Chain Robot for Shape-Changing Objects”, in Proceedings of the ACM Symposium on Computational Fabrication (SCF ’25), Cambridge, MA, USA, November 20–21, 2025.

B. Ataman, R. Gallardo, and Qilmeg, “Affective Translation: Material and Virtual Embodiments of Kinetic Textile Robots”, in Proceedings of the Eighteenth International Conference on Tangible, Embedded, and Embodied Interaction (TEI ’26), ACM, New York, NY, USA, 2026, manuscript in review.