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Semantically Grounded Learning From Unstructured Demonstrations, Scott D. Niekum
Semantically Grounded Learning From Unstructured Demonstrations, Scott D. Niekum
Open Access Dissertations
Robots exhibit flexible behavior largely in proportion to their degree of semantic knowledge about the world. Such knowledge is often meticulously hand-coded for a narrow class of tasks, limiting the scope of possible robot competencies. Thus, the primary limiting factor of robot capabilities is often not the physical attributes of the robot, but the limited time and skill of expert programmers. One way to deal with the vast number of situations and environments that robots face outside the laboratory is to provide users with simple methods for programming robots that do not require the skill of an expert.
For this …