9 papers
Zero-to-CAD: Agentic Synthesis of Interpretable CAD Programs at Million-Scale Without Real Data
Mohammadmehdi Ataei, Farzaneh Askari, Kamal Rahimi Malekshan +1
Computer-Aided Design (CAD) models are defined by their construction history: a parametric recipe that encodes design intent. However, existing large-scale 3D datasets predominantl…
Physics Context Builders: A Modular Framework for Physical Reasoning in Vision-Language Models
Vahid Balazadeh, Mohammadmehdi Ataei, Hyunmin Cheong +2
Physical reasoning remains a significant challenge for Vision-Language Models (VLMs). This limitation arises from an inability to translate learned knowledge into predictions about…
MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation
Diana Bolanos, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman
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 top…
mPOLICE: Provable Enforcement of Multi-Region Affine Constraints in Deep Neural Networks
Mohammadmehdi Ataei, Hyunmin Cheong, Adrian Butscher
Deep neural networks are increasingly used in safety-critical domains such as robotics and scientific modeling, where strict adherence to output constraints is essential. Methods l…
Transformer-Based Interfaces for Mechanical Assembly Design: A Gear Train Case Study
Mohammadmehdi Ataei, Hyunmin Cheong, Jiwon Jun +3
Generative artificial intelligence (AI), particularly transformer-based models, presents new opportunities for automating and augmenting engineering design workflows. However, effe…
RECALL-MM: A Multimodal Dataset of Consumer Product Recalls for Risk Analysis using Computational Methods and Large Language Models
Diana Bolanos, Mohammadmehdi Ataei, Daniele Grandi +1
Product recalls provide valuable insights into potential risks and hazards within the engineering design process, yet their full potential remains underutilized. In this study, we…