Robot-Friendly Construction Systems: AI Planning and Multi-Robot Assembly of Tube and Clamp Scaffolding
This one-day workshop introduces participants to an AI-driven robotic construction workflow through the assembly of a robot-friendly tube-and-clamp scaffolding system. Using a real multi-robot setup and open-source planning tools, the workshop demonstrates how structural design, AI planning, and robotic execution can be integrated into a single construction process. Participants are exposed to the complete pipeline—from computational design and AI-based task and motion planning to the physical execution of pre-planned trajectories—highlighting how future construction systems can be designed to be both machine-executable and human-interpretable.
Tutors
Pok Yin Victor Leung (City University of Hong Kong, Hong Kong, China)
Victor Leung is a researcher, educator, and maker working at the intersection of art, technology, and architecture. His practice focuses on robotic fabrication, computational design, and the development of custom machines, tools, and end effectors for creative production. Currently, Victor is an Assistant Professor at the School of Creative Media, City University of Hong Kong, where he teaches courses on interactive machines, computational design, and digital fabrication.
Yijiang Huang (ETH Zurich, Zurich, Switzerland)
Yijiang Huang is a roboticist, engineer, and educator. He is interested in understanding the relationship between designs and the process of building them. To this end, he builds intelligent robot systems to enable us to simulate, quantify, and augment the design and construction processes. Currently, Yijiang is a Junior Group Leader (Oberassistent) at ETH Zurich’s Computational Robotics Lab.