1-12 of 12
Ayush Raina
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Artificial Intelligence Impersonating a Human: The Impact of Design Facilitator Identity on Human Designers

Guanglu Zhang, Ayush Raina, Ethan Brownell, Jonathan Cagan
Journal: Journal of Mechanical Design
Article Type: Research Papers
J. Mech. Des. May 2023, 145(5): 051404.
Paper No: MD-22-1517
DOI: https://doi.org/10.1115/1.4056499
Published Online: January 17, 2023
View Article
PDF
Topics: Design, Artificial intelligence
Journal Articles

Learning to Design Without Prior Data: Discovering Generalizable Design Strategies Using Deep Learning and Tree Search

Ayush Raina, Jonathan Cagan, Christopher McComb
Journal: Journal of Mechanical Design
Article Type: Research Papers
J. Mech. Des. March 2023, 145(3): 031402.
Paper No: MD-22-1326
DOI: https://doi.org/10.1115/1.4056221
Published Online: December 9, 2022
View Article
PDF
Topics: Boundary-value problems, Design, Algorithms
Proceedings Papers

The Impact of a Strategy of Deception About the Identity of an Artificial Intelligence Teammate on Human Designers

Guanglu Zhang, Ayush Raina, Ethan Brownell, Jonathan Cagan
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A017, August 14–17, 2022
Paper No: DETC2022-88535
DOI: https://doi.org/10.1115/DETC2022-88535
View Paper
PDF
Topics: Artificial intelligence, Engineering design, Teams
Proceedings Papers

Self Learning Design Agent (SLDA): Enabling Deep Learning and Tree Search in Complex Action Spaces

Ayush Raina, Jonathan Cagan, Christopher McComb
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A043, August 14–17, 2022
Paper No: DETC2022-89740
DOI: https://doi.org/10.1115/DETC2022-89740
View Paper
PDF
Topics: Design, Space, Algorithms, Artificial intelligence, Boundary-value problems, Data-driven design, Design automation, Trusses (Building)
Proceedings Papers

Collaborative Design Decision-Making With Artificial Intelligence: Exploring the Evolution and Impact of Human Confidence in AI and in Themselves

Leah Chong, Ayush Raina, Kosa Goucher-Lambert, Kenneth Kotovsky, Jonathan Cagan
Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A021, August 14–17, 2022
Paper No: DETC2022-88574
DOI: https://doi.org/10.1115/DETC2022-88574
View Paper
PDF
Topics: Artificial intelligence, Collaboration, Decision making, Design
Journal Articles

The Evolution and Impact of Human Confidence in Artificial Intelligence and in Themselves on AI-Assisted Decision-Making in Design

Leah Chong, Ayush Raina, Kosa Goucher-Lambert, Kenneth Kotovsky, Jonathan Cagan
Journal: Journal of Mechanical Design
Article Type: Research Papers
J. Mech. Des. March 2023, 145(3): 031401.
Paper No: MD-22-1057
DOI: https://doi.org/10.1115/1.4055123
Published Online: October 31, 2022
View Article
PDF
Topics: Artificial intelligence, Decision making, Design, Feedback, Trusses (Building)
Journal Articles

Design Strategy Network: A Deep Hierarchical Framework to Represent Generative Design Strategies in Complex Action Spaces

Ayush Raina, Jonathan Cagan, Christopher McComb
Journal: Journal of Mechanical Design
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021404.
Paper No: MD-21-1227
DOI: https://doi.org/10.1115/1.4052566
Published Online: October 11, 2021
View Article
PDF
Topics: Design, Generative design, Space, Decision making, Trusses (Building)
Journal Articles

Goal-Directed Design Agents: Integrating Visual Imitation With One-Step Lookahead Optimization for Generative Design

Ayush Raina, Lucas Puentes, Jonathan Cagan, Christopher McComb
Journal: Journal of Mechanical Design
Article Type: Technical Briefs
J. Mech. Des. December 2021, 143(12): 124501.
Paper No: MD-20-1783
DOI: https://doi.org/10.1115/1.4051013
Published Online: June 9, 2021
View Article
PDF
Topics: Design, Trusses (Building), Construction, Feedback
Proceedings Papers

Learning to Design From Humans: Imitating Human Designers Through Deep Learning

Ayush Raina, Christopher McComb, Jonathan Cagan
Proc. ASME. IDETC-CIE2019, Volume 2A: 45th Design Automation Conference, V02AT03A001, August 18–21, 2019
Paper No: DETC2019-97399
DOI: https://doi.org/10.1115/DETC2019-97399
View Paper
PDF
Topics: Design, Teams, Trusses (Building), Computers, Image processing, Modeling
Journal Articles

Learning to Design From Humans: Imitating Human Designers Through Deep Learning

Ayush Raina, Christopher McComb, Jonathan Cagan
Journal: Journal of Mechanical Design
Article Type: Research Papers
J. Mech. Des. November 2019, 141(11): 111102.
Paper No: MD-19-1131
DOI: https://doi.org/10.1115/1.4044256
Published Online: September 16, 2019
View Article
PDF
Topics: Design
Journal Articles

Transferring Design Strategies From Human to Computer and Across Design Problems

Ayush Raina, Jonathan Cagan, Christopher McComb
Journal: Journal of Mechanical Design
Article Type: Technical Briefs
J. Mech. Des. November 2019, 141(11): 114501.
Paper No: MD-19-1206
DOI: https://doi.org/10.1115/1.4044258
Published Online: September 16, 2019
View Article
PDF
Topics: Design
Proceedings Papers

Design Strategy Transfer in Cognitively-Inspired Agents

Ayush Raina, Christopher McComb, Jonathan Cagan
Proc. ASME. IDETC-CIE2018, Volume 2A: 44th Design Automation Conference, V02AT03A018, August 26–29, 2018
Paper No: DETC2018-85599
DOI: https://doi.org/10.1115/DETC2018-85599
View Paper
PDF
Topics: Design, Computers