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: "quaternion kinematics for the error state kalman filter"
  Abstract: A tutorial of quaternion algebra, especially suited for the error-state Kalman filter, with the aim of building Visual-Inertial SLAM and odometry systems.

Connected through hyperedge HE-1 (induced by source paper "a code for unscented kalman filtering on manifolds ukf m"):
  with members:
    - "exploiting symmetries to design ekfs with consistency properties for navigation and slam"
    - "contact aided invariant extended kalman filtering for legged robot state estimation"
    - "a micro lie theory for state estimation in robotics"
    - "an ekf slam algorithm with consistency properties"
    - "the invariant extended kalman filter as a stable observer"
    - "intrinsic filtering on lie groups with applications to attitude estimation"
    - "integrating generic sensor fusion algorithms with sound state representations through encapsulation of manifolds"

Connected through hyperedge HE-2 (induced by source paper "linear time variational integrators in maximal coordinates"):
  with members:
    - "efficient computation of higher order variational integrators in robotic simulation and trajectory optimization"
    - "a linear time variational integrator for multibody systems"
    - "julia a fresh approach to numerical computing"

Connected through hyperedge HE-3 (induced by source paper "depth camera based particle filter for robotic osteotomy navigation"):
  with members:
    - "deepim deep iterative matching for 6d pose estimation"
    - "densefusion 6d object pose estimation by iterative dense fusion"
    - "imagenet trained cnns are biased towards texture increasing shape bias improves accuracy and robustness"
    - "deep 6 dof tracking"
    - "posecnn a convolutional neural network for 6d object pose estimation in cluttered scenes"
    - "noise in structured light stereo depth cameras modeling and its applications"
    - "a new perspective and extension of the gaussian filter"
    - "learning analysis by synthesis for 6d pose estimation in rgb d images"

Connected through hyperedge HE-4 (induced by source paper "r lins a robocentric lidar inertial state estimator for robust and efficient navigation"):
  with members:
    - "tightly coupled 3d lidar inertial odometry and mapping"
    - "direct sparse visual inertial odometry using dynamic marginalization"
    - "robocentric visual inertial odometry"
    - "vins mono a robust and versatile monocular visual inertial state estimator"
    - "elastic lidar fusion dense map centric continuous time slam"

Connected through hyperedge HE-5 (induced by source paper "range only collaborative localization for ground vehicles"):
  with members:
    - "vins mono a robust and versatile monocular visual inertial state estimator"
    - "euclidean distance matrices essential theory algorithms and applications"
    - "cooperative localization by dual foot mounted inertial sensors and inter agent ranging"

Connected through hyperedge HE-6 (induced by source paper "contact aided invariant extended kalman filtering for legged robot state estimation"):
  with members:
    - "rins w robust inertial navigation system on wheels"
    - "closed form preintegration methods for graph based visual inertial navigation"
    - "hybrid contact preintegration for visual inertial contact state estimation using factor graphs"
    - "robocentric visual inertial odometry"
    - "feedback control of a cassie bipedal robot walking standing and riding a segway"
    - "vins mono a robust and versatile monocular visual inertial state estimator"
    - "invariant smoothing on lie groups"
    - "on manifold preintegration for real time visual inertial odometry"

Connected through hyperedge HE-7 (induced by source paper "bayesian pose graph optimization via bingham distributions and tempered geodesic mcmc"):
  with members:
    - "convex relaxations for pose graph optimization with outliers"
    - "local optimality and generalization guarantees for the langevin algorithm via empirical metastability"
    - "rotation averaging and strong duality"
    - "non convex learning via stochastic gradient langevin dynamics a nonasymptotic analysis"
    - "a hitting time analysis of stochastic gradient langevin dynamics"
    - "cad priors for accurate and flexible instance reconstruction"
    - "camera pose filtering with local regression geodesics on the riemannian manifold of dual quaternions"
    - "a certifiably correct algorithm for synchronization over the special euclidean group"

Connected through hyperedge HE-8 (induced by source paper "structvio visual inertial odometry with structural regularity of man made environments"):
  with members:
    - "vins mono a robust and versatile monocular visual inertial state estimator"
    - "direct sparse odometry"
    - "orb slam a versatile and accurate monocular slam system"

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)