human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "visual inertial navigation a concise review"):
  Abstract: As inertial and visual sensors are becoming ubiquitous, visual-inertial navigation systems (VINS) have prevailed in a wide range of applications from mobile augmented reality to aerial navigation to autonomous driving, in part because of the complementary sensing capabilities and the decreasing costs and size of the sensors. In this paper, we survey thoroughly the research efforts taken in this field and strive to provide a concise but complete review of the related work -- which is unfortunately missing in the literature while being greatly demanded by researchers and engineers -- in the hope to accelerate the VINS research and beyond in our society as a whole.

Includes members:
  Member "observability aware self calibration of visual and inertial sensors for ego motion estimation":
    also connected through other hyperedges:
      (none)
  Member "closed form preintegration methods for graph based visual inertial navigation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "adaptive continuous visual odometry from rgb d images")
  Member "continuous time visual inertial odometry for event cameras":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "exploiting event driven cameras for spatio temporal prediction of fast changing trajectories")
  Member "visual inertial object detection and mapping":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "mono3d monocular 3d vehicle detection with two scale 3d hypotheses and task priors")
  Member "maplab an open framework for research in visual inertial mapping and localization":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "whole body control of a mobile manipulator using end to end reinforcement learning")
  Member "stereo vision based semantic 3d object and ego motion tracking for autonomous driving":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "3d dynamic scene graphs actionable spatial perception with places objects and humans")
  Member "closed form solution to cooperative visual inertial structure from motion":
    also connected through other hyperedges:
      (none)
  Member "robocentric visual inertial odometry":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "localization for ground robots on manifold representation integration re parameterization and optimization")

Question: Please tell me which class the source paper 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)