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: "setting up pepper for autonomous navigation and personalized interaction with users"
  Abstract: In this paper we present our work with the Pepper robot, a service robot from SoftBank Robotics. We had two main goals in this work: improving the autonomy of this robot by increasing its awareness of the environment; and enhance the robot ability to interact with its users. To achieve this goals, we used ROS, a modern open-source framework for developing robotics software, to provide Pepper with state of the art localization and navigation capabilities. Furthermore, we contribute an architecture for effective human interaction based on cloud services. Our architecture improves Pepper speech recognition capabilities by connecting it to the IBM Bluemix Speech Recognition service and enable the robot to recognize its user via an in-house face recognition web-service. We show examples of our successful integration of ROS and IBM services with Pepper's own software. As a result, we were able to make Pepper move autonomously in a environment with humans and obstacles. We were also able to have Pepper execute spoken commands from known users as well as newly introduced users that were enrolled in the robot list of trusted users via a multi-modal interface.

Connected through hyperedge HE-1 (induced by source paper "enabling socially competent navigation through incorporating hri"):
  with members:
    - "enabling a pepper robot to provide automated and interactive tours of a robotics laboratory"
    - "mobilenets efficient convolutional neural networks for mobile vision applications"
    - "socially aware motion planning with deep reinforcement learning"
    - "you only look once unified real time object detection"

Connected through hyperedge HE-2 (induced by source paper "towards dialogue based navigation with multivariate adaptation driven by intention and politeness for social robots"):
  with members:
    - "discourse wizard discovering deep discourse structure in your conversation with rnns"
    - "snips voice platform an embedded spoken language understanding system for private by design voice interfaces"
    - "sentiment adaptive end to end dialog systems"
    - "enabling a pepper robot to provide automated and interactive tours of a robotics laboratory"
    - "dialogue act sequence labeling using hierarchical encoder with crf"
    - "end to end joint learning of natural language understanding and dialogue manager"
    - "a computational approach to politeness with application to social factors"

Connected through hyperedge HE-3 (induced by source paper "enabling a pepper robot to provide automated and interactive tours of a robotics laboratory"):
  with members:
    - "autonomous sweet pepper harvesting for protected cropping systems"

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)