Inventors Gregory Hager and Nicolas Padoy discovered an artificial way to get robots and their operators to collaborate by changing their mode of interaction. This has to be the greatest collaboration since eggs met bacon. They called their apparatus the Human Machine Collaborative (HMC) system.
How Does the HMC System Work?
Robotic systems can perform repetitive, complex, and dangerous tasks. These tasks, which Hager & Padoy refer to as “steps,” allow surgeons to automate portions of surgical tasks. Other tasks are carried out by surgeons manually. Some robots accomplish these tasks using hidden and various gesture models. The main gesture model is the Hidden Markov model (HMM) for approximation. The HMM works by assigning labels to the steps. The HMM then computes a probability distribution over a possible sequence of steps and chooses the next best step to complete a surgical tasks. Most surgeons follow a checklist, so a surgeon can program tasks into the HMC system so it can carry them out automatically.
Alternatively, the HMC system can use machine learning to make approximations and automate processes. Since the development of dexterous robots, there has been a race and an increase in surgeons proposing techniques to automate specific surgical tasks. This surgical robot would be able to complete steps automatically, but operators can interact with a sensor-actuator, which turns the robot over to manual control.
The Wrap Up
It’s one thing for robots to take over the world with high grade technology and artificial intelligence. However, soon they will also be the ones running your hospitals and be first responders to emergencies. However, that is a long way off. At least we can remain the supervisors of these technical wizards.
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