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: "mapping with reflection detection and utilization of reflection in 3d lidar scans"
  Abstract: This paper presents a method to detect reflection with 3D light detection and ranging (Lidar) and uses it to map the back side of objects. This method uses several approaches to analyze the point cloud, including intensity peak detection, dual return detection, plane fitting, and finding the boundaries. These approaches can classify the point cloud and detect the reflection in it. By mirroring the reflection points on the detected window pane and adding classification labels on the points, we can have improve the map quality in a Simultaneous Localization and Mapping (SLAM) framework.

Connected through hyperedge HE-1 (induced by source paper "furniture free mapping using 3d lidars"):
  with members:
    - "fast 2d map matching based on area graphs"
    - "heterogeneous multi sensor calibration based on graph optimization"
    - "towards generation and evaluation of comprehensive mapping robot datasets"
    - "area graph generation of topological maps using the voronoi diagram"

Connected through hyperedge HE-2 (induced by source paper "furniture free mapping"):
  with members:
    - "fast 2d map matching based on area graphs"
    - "heterogeneous multi sensor calibration based on graph optimization"
    - "towards generation and evaluation of comprehensive mapping robot datasets"
    - "area graph generation of topological maps using the voronoi diagram"

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)