MID

Co-Creative Robots 2025


 

The Co-Creative Robots 2025 project explores a novel mode of human-robot collaboration in the early stages of architectural design. It centers on a turn-based assembly game in which a human and a robotic arm take turns placing rectangular bricks within a defined 3D space. The human initiates the process by physically placing a brick, and a Python-based Grasshopper script—integrated with ChatGPT—interprets the geometry and determines a valid response. The robot then places the next brick accordingly, ensuring it obeys structural rules such as support, spacing, and collision avoidance. This iterative process transforms robotic fabrication into a co-creative spatial dialogue.

The system combines geometric computation with AI to generate each robotic move, enabling hybrid creativity between designers and robots. The logic maintains a persistent memory of previous placements, checks for valid stacking positions, and applies constraints such as orientation, spacing for the gripper, and layer sequencing. A key component of the experience is a camera overlooking the evolving assembly. After each new brick is placed, an image is captured and processed through Stable Diffusion to generate a speculative visualization of what the final structure could become. This real-time feedback is projected onto a large display, creating a continuous visual conversation between the material process and its architectural potential.

This setup positions the robot not as a passive executor but an intelligent participant in design exploration. The project encourages the human designer to reflect, anticipate, and iterate by pairing physical action with AI-generated visual projections. The speculative images produced by Stable Diffusion serve as aesthetic prompts and narrative extensions of the physical game. Co-CreativeRobots 2025 thus operates as a testbed for new modes of co-authorship between humans and machines — where building and imagining evolve together in real time.

 

Video – Process documentation

Video – Process visualisation

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