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: "mobile robot assisted mapping of materials in unknown environments"
  Abstract: Active perception by robots of surrounding objects and environmental elements may involve contacting and recognizing material types such as glass, metal, plastic, or wood. This perception is especially beneficial for mobile robots exploring unknown environments, and can increase a robot's autonomy and enhance its capability for interaction with objects and humans. This paper introduces a new multi-robot system for learning and classifying object material types through the processing of audio signals produced when a controlled solenoid switch on the robot is used to tap the target material. We use Mel-Frequency Cepstrum Coefficients (MFCC) as signal features and a Support Vector Machine (SVM) as the classifier. The proposed system can construct a material map from signal information using both manual and autonomous methodologies. We demonstrate the proposed system through experiments using the mobile robot platforms installed with Velodyne LiDAR in an exploration-like scenario with various materials. The material map provides information that is difficult to capture using other methods, making this a promising avenue for further research.

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)