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: "localization of simultaneous moving sound sources for mobile robot using a frequency domain steered beamformer approach"
  Abstract: Mobile robots in real-life settings would benefit from being able to localize sound sources. Such a capability can nicely complement vision to help localize a person or an interesting event in the environment, and also to provide enhanced processing for other capabilities such as speech recognition. We present a robust sound source localization method in three-dimensional space using an array of 8 microphones. The method is based on a frequency-domain implementation of a steered beamformer along with a probabilistic post-processor. Results show that a mobile robot can localize in real time multiple moving sources of different types over a range of 5 meters with a response time of 200 ms.

Connected through hyperedge HE-1 (induced by source paper "auditory system for a mobile robot"):
  with members:
    - "enhanced robot audition based on microphone array source separation with post filter"
    - "microphone array post filter for separation of simultaneous non stationary sources"
    - "robust sound source localization using a microphone array on a mobile robot"

Connected through hyperedge HE-2 (induced by source paper "a review of verbal and non verbal human robot interactive communication"):
  with members:
    - "robust localization and tracking of simultaneous moving sound sources using beamforming and particle filtering"
    - "explorations in engagement for humans and robots"
    - "robust sound source localization using a microphone array on a mobile robot"
    - "grounding the lexical semantics of verbs in visual perception using force dynamics and event logic"
    - "the symbol grounding problem"

Connected through hyperedge HE-3 (induced by source paper "robust recognition of simultaneous speech by a mobile robot"):
  with members:
    - "robust localization and tracking of simultaneous moving sound sources using beamforming and particle filtering"
    - "robust 3d localization and tracking of sound sources using beamforming and particle filtering"
    - "enhanced robot audition based on microphone array source separation with post filter"
    - "microphone array post filter for separation of simultaneous non stationary sources"

Connected through hyperedge HE-4 (induced by source paper "robust localization and tracking of simultaneous moving sound sources using beamforming and particle filtering"):
  with members:
    - "robust sound source localization using a microphone array on a mobile robot"

Connected through hyperedge HE-5 (induced by source paper "robust 3d localization and tracking of sound sources using beamforming and particle filtering"):
  with members:
    - "microphone array post filter for separation of simultaneous non stationary sources"

Connected through hyperedge HE-6 (induced by source paper "enhanced robot audition based on microphone array source separation with post filter"):
  with members:
    - "microphone array post filter for separation of simultaneous non stationary sources"

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)