معرفی
Shermin Sherkat is a doctoral researcher and research associate at the Institute for Computational Design and Construction (ICD) within the Cluster of Excellence IntCDC at the University of Stuttgart. Holding a Master of Science in Digital Technology in Architecture from the University of Tehran, her work focuses on integrating computational design with artificial intelligence applications in construction and fabrication.
Her research explores classical Automated Task Planning (ATP) techniques using Planning Domain Definition Language (PDDL) to optimize robotic assembly processes. Current projects involve modeling fabrication domains for pick-and-place operations with multiple end-effectors, addressing challenges in 3D geometry representation and multi-object stacking limitations within classical planning frameworks.
Recent publications examine the application of symbolic AI in construction automation, including systematic reviews of ATP methods and case studies on the BUGA Wood Pavilion's cassette fabrication. She contributes to advancing AI-driven task planning while identifying constraints in numerical tracking and geometric grouping within deterministic environments.
