Automated sample handling systems typically involve a combination of robotic arms, precision instruments, and software control. These systems can perform tasks such as sample transfer, mixing, heating, and analysis. The integration with machine learning algorithms allows these systems to learn and adapt, optimizing the sample handling process over time.
