  This paper is based on developing different algorithms, which generate the
task tree planning for the given goal node(recipe). The knowledge
representation of the dishes is called FOON. It contains the different objects
and their between them with respective to the motion node The graphical
representation of FOON is made by noticing the change in the state of an object
with respect to the human manipulators. We will explore how the FOON is created
for different recipes by the robots. Task planning contains difficulties in
exploring unknown problems, as its knowledge is limited to the FOON. To get the
task tree planning for a given recipe, the robot will retrieve the information
of different functional units from the knowledge retrieval process called FOON.
Thus the generated subgraphs will allow the robot to cook the required dish.
Thus the robot can able to cook the given recipe by following the sequence of
instructions.
