Contact
keplerstr. 11
70174 Stuttgart
Deutschland
Sherkat, S., Skoury, L., Wortmann, A., Wortmann, T.: 2023, Artificial Intelligence Automated Task Planning for Fabrication. In: Dörfler, K., Knippers, J., Menges, A., Parascho, S., Pottmann, H., Wortmann, T. (Eds.) Advances in Architectural Geometry 2023. De Gruyter, Berlin, Boston, pp. 249--260. (DOI: doi:10.1515/9783111162683-019)
ITECH Thesis Projects:
- ITECH Master's Thesis Topic – Task and Motion planning for Collaborative Robotic Construction, 2023/24
Artificial Intelligence Software Academy Study Projects:
- Task Planning Using Behavior Trees - Winter semester - 2022/23
- Task Planning Using Behavior Trees - Winter semester - 2023/24
- AISA Hackathon - Winter semester - 2024/25
- AISA Hackathon - Summer semester - 2024/25
- C# for creative coders- Summer semester - 2024/25
Artificial Intelligence Software Academy Seminars:
- Modeling Software Intensive Systems - Winter semester - 2023/24
- Modeling Software Intensive Systems - Winter semester - 2024/25
- Introduction to C# - winter semester - 2023/24
Internships at the ISW:
APMB C# for engineers- Winter semester - 2024/25
APMB C# for engineers - Summer semester - 2023/24
Workshops:
- ML meets AEC - Autumn School 2022 - hosted by IntCDC - AdvanceAEC
- Introduction to C# - winter semester - 2022/23
Shermin Sherkat is a research associate and lecturer at the Institute for Computational Design and Construction (ICD), the Department for Computing in Architecture (ICD/CA), and the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW). She is also a lecturer and member of the Artificial Intelligence Software Academy, where she has trained over 100 architects to apply AI and software engineering techniques to their design challenges. Prior to this, she completed her master’s degree at the University of Tehran, with a thesis focused on developing an architectural design assistant software tool for designing residential complexes using model-driven software engineering.
Her current research at the University of Stuttgart focuses on two main areas: (1) automating robot task and motion planning for construction robotics directly from 3D design data by integrating heterogeneous AI techniques using extended behavior trees; and (2) developing low-code solutions that leverage advanced software engineering and automated code generation techniques to bridge the technical gap between AI methods and construction and fabrication practitioners. This enables architects and construction robotics specialists to utilize a range of AI tools by understanding their overarching functions and optimal applications, eliminating the need for time-consuming and error-prone manual coding.