PhD Thesis 2023
A Collaborative Framework for Machine Learning-Based Toolmaking for Creative Practices
Ardavan Bidgoli
PhD-CD
Advised by Daniel Cardoso Llach, Golan Levin
Ardavan Bidgoli is a computational designer, roboticist, and machine learning researcher. He graduated PhD-CD and his research concerns the interfaces that enable designers and creative users to interact with ML-based computational design and robotic fabrication tools. He is the lead instructor of the Introduction to ML in Design and Introduction to Architectural Robotics at CMU School of Architecture. His industry partnerships span various research and product teams at AEC-Tech companies, including the Generative Components team at Bentley Systems and Autodesk’s OCTO team at Pier9 and BUILD space facilities.
Work
Research 2022–2025
Rethinking Automation in Construction (ReAC)
Daniel Cardoso Llach
ReAC is a research group at Carnegie Mellon’s Computational Design Laboratory investigating new ways of combining artificial intelligence, robotics, and qualitative research metho…
Design and Computation Research Group (DCRG) Robotics & Fabrication Structural Design & Materials
Conference Paper 2019
DeepCloud. The Application of a Data-driven, Generative Model in Design
Ardavan Bidgoli, Pedro Veloso
Journal Article 2017
Assisted automation: Three learning experiences in architectural robotics
Daniel Cardoso Llach, Ardavan Bidgoli
International Journal of Architectural Computing
MS Thesis 2023
3D Art Research with Radiance Field and Style Transfer
Yuchen Cao
MSCD
Advised by Daniel Cardoso Llach, Ardavan Bidgoli
Conference Paper 2020
Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human Artists
Ardavan Bidgoli, Manuel Ladron de Guevara
2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Conference Paper 2019
Machinic Surrogates: Human-Machine Relationships in Computational Creativity
Ardavan Bidgoli, Daniel Cardoso Llach
Conference Paper 2016
Of Hands and Robots: Creativity and Learning in Architectural Robotics
Daniel Cardoso Llach, Ardavan Bidgoli
MS Thesis 2023
Towards Contextualized Synthetic Dataset for Construction Site
Haoyu Liu
MSCD
Advised by Daniel Cardoso Llach, Ardavan Bidgoli
Conference Paper 2020
Towards a Distributed, Robotically Assisted Construction Framework
Zhihao Fang, Yuning Wu, Ardavan Bidgoli, Daniel Cardoso Llach
ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 320-329.
Conference Paper 2019
Image Classification for Robotic Plastering with Convolutional Neural Network
Joshua Bard, Ardavan Bidgoli, Wei Wei Chi
Robotic Fabrication in Architecture, Art and Design 2018