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Who Uses LogicNets at NASA?
NASA Goddard scientists are developing an artificial intelligence (AI) test-bed with the capability to predict if/how a vehicle will work in various exploration scenarios before time and funds are committed to vehicle development and mission deployment. Based on LogicNets’ expert system application modeling and runtime environments, the system will also be able to control real vehicles and to make the decisions for the interaction between the robotic vehicle systems and the environment.
What Will They Build?
Researchers at both organizations are collaborating to develop a robotic system that can be defined and tested in any exploration scenario. They expect the work to take at least two years to complete, at which time testing and evaluation may be followed by implementation in NASA exploration missions.
What NASA Is Saying
Patrick Coronado, Innovator, NASA Goddard, says, "Building this standardized framework would be much more time consuming, difficult, and expensive for NASA to do on its own. This is a huge driving force behind technology transfer agreements. LogicNets can save their customers (including NASA) a lot of money by providing a testing framework. Every time we [NASA] want to put a robotic system in space, we don’t have to program all the possibilities. With the framework we’re creating [with LogicNets], we can try it out first and minimize the risk of these missions by giving them the ability to resolve problems autonomously, increase science return, and make the mission more efficient.”
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