Research 03

  • StatusEmerging
  • People3
  • Works2

Computational assembly across scales

We develop fabrication methods in which local material rules produce structures that can adapt during making and use.

Fabrication is usually described as the execution of a complete digital model. Our research focuses on assembly processes that remain open to material variation.

Local measurements guide where a structure grows, stiffens, or is taken apart. The resulting systems are not exact copies of an ideal geometry; they are records of a negotiation among design intent, available material, and present conditions.

Reversibility as a design variable

We are particularly interested in joints and toolpaths that preserve future choices. Disassembly, reconfiguration, and material recovery are treated as first-order performance criteria rather than end-of-life exceptions.

2026

Distributed strain as an interface for adaptive fiber structures

A. Okafor, M. Lin, L. Vogt

Journal of Material Intelligence 8(2) · Journal

A sparse electrical readout and topology-aware model recover deformation states across woven conductive structures without discrete sensor nodes.

2024

Reversible robotic assembly under material uncertainty

Y. Sato, A. Okafor, M. Lin

ACADIA 2024 · Conference

A closed-loop assembly method responds to component variation while maintaining reversible joints and traceable material provenance.