Robotics
The robotics module presents the physical execution layer of materials intelligence: modular equipment, line-level workflow, flexible MIT-B-P-F configuration, and experiment-ready robotic operation.
Production-line execution
Robotic equipment converts recipe-level decisions into physical operations such as material handling, preparation, transport, and characterization.
MIT-B-P-F flexibility
Robotic hardware modules can be flexibly combined across materials tasks, allowing the same architecture to support different device routes and new battery-material workflows.
Closed-loop feedback
Experimental outputs are returned to the software stack, enabling data accumulation, model refinement, and the next round of materials-intelligence optimization.
Robotic Production Line Walkthrough
A continuous production-line walkthrough showing robotic transfer, module coordination, workstation sequencing, and physical execution of materials-intelligence workflows.
MIT-B-P-F Flexible Robotic Combination for New Battery Materials
Demonstrates robotic motion and the flexible MIT-B-P-F module-combination strategy for new battery materials, showing how the hardware stack can be reconfigured for different experimental routes.
Robotic Boxes for Controllable Fabrication
The robotic-box architecture decomposes the experimental line into synthesis, fabrication, and characterization boxes. This modular design supports controlled process transfer, clear functional zoning, and scalable automation across multiple materials workflows.
Digital Twin Representation of Robotic Boxes
The Digital Twin view mirrors the physical robotic boxes and equipment modules, enabling process visualization, module-level coordination, virtual validation, and clearer communication of how experimental steps are mapped into the software system.
Integrated Robot Platform
The robot platform provides the physical backbone for automated materials preparation. It integrates transport, handling, processing, and modular device access into a continuous line, making recipe execution traceable and repeatable.
The 4th Generation of Robot Platform
The fourth-generation platform illustrates the evolution from linear automation toward a more complex robotic materials-manufacturing environment, with evaporation, ALD, PVD/TCO, vacuum exchange, and reversing chambers organized for advanced device fabrication.
Robotics in the full stack
Robotics is not an isolated video demo. It is the execution layer that completes the loop from Materials Intelligence Recipe and Recipe Language Model reasoning to MIOS dispatch and Digital Twin process mapping.