human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "embodiment in socially interactive robots"
  Abstract: Socially interactive robots provide entertainment, information, and/or assistance; this last category is typically encompassed by socially assistive robotics. In all cases, such robots can achieve their primary functions without performing functional physical work. This monograph reviews the existing work that explores the role of physical embodiment in socially interactive robots. This class consists of robots that are not only capable of engaging in social interaction with humans, but are using primarily their social capabilities to perform their desired functions. This monograph explores the embodiment hypothesis that physical embodiment has a measurable effect on performance and perception of social interactions in socially interactive robotics. It presents a thorough review of existing work and analyzes existing results and approaches to embodiment to determine the current state of the embodiment hypothesis. This monograph is a comprehensive and in depth overview of embodiment in socially interactive robots that is a starting point for researchers and students beginning their own research in the area.

Connected through hyperedge HE-1 (induced by source paper "long term personalization of an in home socially assistive robot for children with autism spectrum disorders"):
  with members:
    - "understanding the role of adaptivity in machine teaching the case of version space learners"
    - "personalized machine learning for robot perception of affect and engagement in autism therapy"
    - "hierarchical deep reinforcement learning integrating temporal abstraction and intrinsic motivation"
    - "active learning with statistical models"

Connected through hyperedge HE-2 (induced by source paper "using socially expressive mixed reality arms for enhancing low expressivity robots"):
  with members:
    - "baxter s homunculus virtual reality spaces for teleoperation in manufacturing"
    - "deep imitation learning for complex manipulation tasks from virtual reality teleoperation"

Question: Please tell me which class the center node 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)