| About this Abstract |
| Meeting |
TMS Specialty Congress 2025
|
| Symposium
|
Joint Sessions of AIM, ICME, & 3DMS
|
| Presentation Title |
Building a Self-Driving Lab From Scratch |
| Author(s) |
Shijing Sun |
| On-Site Speaker (Planned) |
Shijing Sun |
| Abstract Scope |
The development of autonomous laboratories marks a paradigm shift in materials research by automating experimental processes—from planning to analysis. This talk explores three approaches to laboratory autonomy to accelerate discovery. The first involves an all-in-one platform, where an AI “brain” directs workflows and real-time computer vision guides decisions. The second emphasizes modular integration, adding robotic components and using lower-fidelity proxies with human oversight for flexibility. Lastly, open-source hardware offers customizable, cost-effective automation setups, democratizing advanced tools for researchers. These approaches demonstrate how to build functional self-driving labs, transforming experimentation and accelerating materials design. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |