Automation Experimental Execution
Robotic platforms carry out synthesis, handling and characterization with consistent control over each experimental step.
Closing the loop between experiment, analysis and intelligent decision-making.
Robotic systems perform synthesis and characterization, while AI analyzes the results and selects the next experiment. By repeating this closed-loop process, the laboratory can autonomously explore experimental conditions and move toward desired research objectives.
Robotic platforms carry out synthesis, handling and characterization with consistent control over each experimental step.
AI learns from experimental outcomes and determines which conditions should be explored next to accelerate discovery.
The orchestration system coordinates robots, instruments and data flows, linking individual tasks into a continuous experimental workflow.