human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "functional object oriented network considering robot s capability in human robot collaboration"):
  Abstract: In this work, we explore human-robot collaborative planning using the \emph{functional object-oriented network} (FOON), a graphical knowledge representation for manipulations that can be performed by domestic robots. The knowledge retrieval procedure, used for acquiring the necessary steps (as a task tree) to solve a given problem, is modified to account for weights that reflect the difficulty of performing motions in a universal FOON. These weights are given as success rates, which describe the likelihood of a robot successfully completing the action(s) on its own. However, certain manipulations may be too difficult for it to perform on its own based on its own physical limitations. To make it easier for the robot, a human can assist to the minimal extent needed to perform the activity to completion by identifying those actions with low success rates for the human to do. From our experiments, it is shown that tasks can be executed successfully with the aid of the assistant. Our results show that the best task tree can be found with the adequate chance of success in completing three activities while minimizing the effort needed from the human assistant.

Includes members:
  Member "long activity video understanding using functional object oriented network":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a survey of knowledge representation in service robotics")
  Member "identifying object states in cooking related images":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a survey of knowledge representation in service robotics")
  Member "functional object oriented network for manipulation learning":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a survey of knowledge representation in service robotics")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.RO(Robotics)