Some of the researchers have now developed a robotic system which is capable of learning, representing and inferring ownership relations and norms that may have address some of the more challenges which are associated with the teaching robots social norms and how to conform with them.
According to the reports and research revealed from the Yale University, some of the ownership norms are a set of social norms that help to navigate the shared environments in such a way that are more considerate towards the others.
Teaching these norms to robots could also enhance their high sort of interactions with the humans, that even allows them to distinguish just between an owned tools and un-owned tools that are much more temporarily shared with them, according to the report.
“My research lab focuses on building robots that are easy for people to interact with,” co-author Brian Scassellati was quoted as saying by TechXplore.
“Part of that work is looking at how we can teach machines about common social concepts, things that are essential to us as humans but that are not always the topics that attract the most attention,” he said.
“Understanding about object ownership, permissions, and customs is one of these topics that hasn’t really received much attention but will be critical to the way that machines operate in our homes, schools, and offices,” Scassellati added.
In the approach which has been devised by the research team, the ownership is represented as a graph of probabilistic that is also allowed to complete using the owned objects.
This is even get combined with a set of the database of the predictably based norms which even constrain the actions that the robot is allowed with the owned objects.