New #ICCV2025 paper: ✨ Aligning Constraint Generation with Design Intent in Parametric CAD ⚙️ We apply post-training techniques to the task of generating engineering sketch constraints found in parametric CAD, using a constraint solver for verifiable rewards.

The ICML Poster session is Thu 27 Jul 2023 at 10:30 a.m. HST — noon HST:

At #ICML this week @SamXu03799145 will present our latest work that generates solid CAD models in a controllable manner. Check out the tweet below for details!

Latest interview in the CDFAM speaker series with @KarlDD on his AI research at Autodesk. https://t.co/6xmbtdA0RO Karl will be speaking more about his work at the Autodesk Research AI Lab at CDFAM NYC June 14-15. Register to attend, today (May 15th) is th… https://t.co/KkyLgw3ONW

Interested in an internship at Autodesk Research? We have three ML roles for Summer 2023 in SF and Toronto. Data Acquisition and ML Research https://t.co/mJ76R8E2Fh Large Language Models https://t.co/DXHPTlCNUM Machine Learning Research https://t.co/jJc1YEAK6U

An automated way to assemble thousands of objects: A new algorithm for automatic assembly of products is accurate, efficient, and generalizable to a wide range of complex real-world assemblies. https://t.co/imi4XPC2sn

If you are attending SIGGRAPH Asia check out our talk during the “Computer-Aided Design” session: Wed Dec 7, 17:00-18:30 KST. I'll be there and happy to meet with anyone!

For a nice overview of our work, check out this article from MIT: https://t.co/ACoAH26P83

Using this reduced search space we can efficiently discover feasible assembly plans. To evaluate our approach we take it to another level by testing on a dataset of 10,000+ assemblies and show state-of-the-art results.

We generate assembly plans by disassembling CAD assemblies part-by-part. The key idea is to use a contact-rich simulation with a discrete number of approximate force directions to pull parts away from the main assembly.

Our latest collaboration with @MIT_CSAIL and @TAMU led by @YunshengTian will be presented at SIGGRAPH Asia today! We want to make it easier to assemble objects AND to disassemble them for end-of-life recycling and part reuse.

If you are at #NeurIPS2022 this week, check out some of the work the Autodesk AI Lab team has been doing on robustness, evaluating graph generative models, and communicating natural programs!

AI-powered design tools are essential to Autodesk’s future offerings, and the work being published by the AI Lab at top-tier AI conferences gives us a glimpse into the future of design. https://t.co/QkPeB9v2vI

❤️ Fluorescent computer stripe @chengXX

want to get into program synthesis but don't know how to started? I wrote a minimalist intro to modern program synthesis that can help you -- from problem formulation to generating code by fine-tuning llm on huggingface. https://t.co/tzPHmzoQh3

Large language model failure mode of the month: Mode collapse to all emoji output all the time. Not helpful 🤷‍♂️😫🤬 @evanthebouncy

Collage is a whole lot of fun! Chatting to @_joelsimon and @ev_ancasey was even more so. Super cool/smart team making progress on the grand challenge of how we interact with AI to create.

📢 We are hiring in the Autodesk AI Lab. Doubling down on what @adam_gaier said, for all those folks that are mission driven to create tools for designing better buildings, cars, devices etc and want to use AI/ML to make it happen.

Fun collaboration between the Autodesk AI Lab and @jiajunwu_cs lab at Stanford! Learning to assemble (and also disassemble) is both technically challenging and impactful for manufacturing efficiency and ensuring products don't have a negative impact at end-of-life.

For folks who are still at #ICML2022 I'll be giving a talk today at the Workshop on Machine Learning for Computational Design. Exciting line up! https://t.co/gQ2bWlUYMy https://t.co/OrhHMOb0Xz