Knowledge Retrieval
This work addresses the challenge of robot task planning in domains like cooking, but it appears incremental as it builds on existing knowledge representation and search techniques.
This paper tackles the problem of enabling robots to perform complex tasks like cooking by proposing Functional Object Oriented Networks (FOONs) as a structured knowledge representation method, which generates task trees and uses search algorithms to find optimal paths from start to goal nodes.
Robots are man made machines which are used to accomplish the tasks. Robots are mainly used to do complex tasks and work in hazardous environment where humans are difficult to work. They are not only designed to use in hazardous environment but also in the environment where humans are performing the same task repeatedly. These are also used for cooking purpose some tasks can be completed with the interaction of both the human and robot one of such things is cooking where human should help robot in making dishes. This paper mainly focusses on Functional Object Oriented Network which is structured knowledge representation using the input output and motion nodes. Task tress are generated using the task tree FOON is produced and collections of all FOONS forms the universal FOON. Different algorithms to traverse the tree in order to get the best output are also discussed in this paper. The desired node or goal node can be achieved from the start node using the different search algorithms and comparison between them is discussed.