Posts

AI in Architecture

/in , /by

Preface

In recent years, Artificial Intelligence (AI) has made significant inroads into the creative industries, notably in fields such as architecture design. The advent of AI-driven image creation tools and advanced language models has opened new frontiers in ideation, enabling a unique synergy between human creativity and generative AI imaging. This independent study aims to delve deep into the potential impacts of AI on the discipline of architecture and its integration into the design process. Three architecture students from the University of Cincinnati, Alex, Jackman, and Nathan, have embarked on a comprehensive investigation, utilizing cutting-edge AI tools to enhance their design capabilities and challenge and redefine traditional methodologies. Throughout their journey, three students have explored various dimensions of AI applications in architecture – from conceptualization and visualization to more complex aspects like representation and style. We invite you to explore the fruits of their experiments, which demonstrate their skillful application of AI in architecture and offer a glimpse into the future of architectural design, where human ingenuity and AI collaborate to create extraordinary works.

Ming Tang

Read more

Digital Human

/in , /by

The digital human project explores (1) high-fidelity digital human modeling and motion capture including Full body + Facial motion capture. (2) Large Language Model integration with digital human, powered by ChatGPT and Open AI. 

Read more

Exhibition @ Reed Gallery

/in /by

Reed Gallery featuring work by DAAP faculty and staff. 02.28.2022

Human and Machine Symbiosis. Portrait drawing with A.I and Robot. by Ming Tang.

Check out the  3D tour of the virtual gallery.

This work explores how Artificial Intelligence and Robots interact with humans and form a unique symbiotic relationship in painting. The co-creation follows steps:  1. Used Machine Learning and Deep Neural Network algorithm to translate a picture of a human face into a styled image. 2. Translate the face’s representation into a parametrically controlled toolpath for the KUKA robot 3. A KUKA robot executed the art-making by holding a paintbrush.

Please check out the full paper on the art-making process here, published at the 2022  HCI conference.

Read more

paper @ 2022 HCI

/in /by

Ming Tang’s paper Human and Machine Symbiosis. An experiment of human and robot co-creation of calligraphy-style drawing is published at the HCI INTERNATIONAL 2022, 24th International Conference on  Human-Computer Interaction. HCI International 2022 Proceeding. Communications in Computer and Information Science, vol 1580. Springer, Cham. https://doi.org/10.1007/978-3-031-06417-3_62

Tang, M. (2022). Human and Machine Symbiosis – An Experiment of Human and Robot Co-creation of Calligraphy-Style Drawing. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2022 Posters. HCII 2022. Communications in Computer and Information Science, vol 1580. Springer, Cham. https://doi.org/10.1007/978-3-031-06417-3_62

Artificial Intelligence (AI) and robots impact creative jobs such as art-making. There have been many AI tools assisting average users in imitating the styles of renowned painters from the past. The Convolutional neural network (CNN) and generative adversarial network (GAN) emergence as a method to “hallucinate” and create expressions of styled drawings. This paper discussed an experiment to study how AI, Automation, and Robots (AAR) will interact with humans and form a unique symbiotic relationship in art-making. Our project, called “robot painter,” established a co-creation in calligraphy-style painting with the following steps:  (1) Use CNN tools to translate a raster image into a calligraphy-style image. (2) Develop an algorithm in Grasshopper and Rhino program for the Kuka robot. This generative tool allowed the artist to translate the image into a parametrically controlled 3D toolpath for a robotic arm. (3) A KUKA robot executed the art-making by holding a paintbrush and completing the painting with customized stoke, force, and angle on a canvas.

In conclusion, the paper discussed that AAR makes human intervention and co-creation possible. The ability of A. I and robots to mimic artists’ expressions have undoubtedly achieved a convincing level and will affect art-making in the years to come.

Project detail. Robotic Art

 

Building Safety Analysis with AI

/in , /by

Grant received: 

  1. Geospatial Imagery Analytics Research. Phase I. Sponsored research by the Cincinnati Insurance Companies. PI. Tang. Co-PI: Jiaqi Ma. $59,000. Period: 02.2020- 12.2021. Completed.
  2. Geospatial Imagery Analytics Research. Phase II. Sponsored research by the Cincinnati Insurance Companies. P.I. Tang. $79,980. Period: 10.2021- 08.2022. Grant: G402236. 2021. Ongoing.
  3. Geospatial Imagery Analytics Research. Phase III. Sponsored research by the Cincinnati Insurance Companies. PI. Tang. $15,709. Period: 6.2022- 06.2023.
  4. Geospatial Imagery Analytics Research. Phase-4. Sponsored research by the Cincinnati Insurance Companies. PI. Tang. $48,646. Period: 1.2023- 10.2023.
  5. Geospatial Imagery Analytics Research. Phase-5. Sponsored research by the Cincinnati Insurance Companies. PI. Tang. $72,350. Period: 10.2023- 11.2024.
  6. Geospatial Imagery Analytics Research. Phase-6. Sponsored research by the Cincinnati Insurance Companies. PI. Tang. $125,665. Period: 9.01.2024- 12.30.2025.

 

Read more