You raise an interesting point, gsmith. I wonder what the legal implications are, and if any body of precedents has emerged, regarding liability when there's a failure or a poor outcome after an operation in which robots have been involved. I thought this was still theoretical. However, it's not. The first Da Vinci robot is now being used in some prostate and gynecological procedures.
Robots have come a long way and are doing some very important work. I'm especially happy to see the benefits they offer people with disabilities. The only thing that bothers me is using them for mission critical functions such as surgery. Suppose the robot has a failure, (such a component failures, processor locks up, etc.) or the communication medium (camera, communication link, etc.) gets a glitch? Any component or design is subjected to failure and what make it even frighten is counterfeit components. With mission, critical products and systems such as a robot that performs surgery must be designed, built and tested to a much higher standard than those for noncritical functions.
Ann, do you know what extra steps companies take in developing, manufacturing and testing robots that perform such important functions so they can greatly reduce and/or eliminate failures?
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.