AAAI 2026technical0 citations
MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation
Diana Bolanos, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman
Abstract
Designing mechanical mechanisms to trace specific paths is a classic yet notoriously difficult engineering problem, characterized by a vast and complex search space of discrete topologies and continuous parameters. We introduce MechaFormer, a Transformer-based model that tackles this challenge by treating mechanism design as a conditional sequence generation task. Our model learns to translate a target curve into a domain-specific language (DSL) string, simultaneously determining the mechanism
BibTeX
@inproceedings{aaai2026_mechaformerseque,
title = {MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation},
author = {Diana Bolanos and Mohammadmehdi Ataei and Pradeep Kumar Jayaraman},
booktitle = {AAAI 2026},
year = {2026}
}