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 "a code for unscented kalman filtering on manifolds ukf m"):
  Abstract: The present paper introduces a novel methodology for Unscented Kalman Filtering (UKF) on manifolds that extends previous work by the authors on UKF on Lie groups. Beyond filtering performance, the main interests of the approach are its versatility, as the method applies to numerous state estimation problems, and its simplicity of implementation for practitioners not being necessarily familiar with manifolds and Lie groups. We have developed the method on two independent open-source Python and Matlab frameworks we call UKF-M, for quickly implementing and testing the approach. The online repositories contain tutorials, documentation, and various relevant robotics examples that the user can readily reproduce and then adapt, for fast prototyping and benchmarking. The code is available at https://github.com/CAOR-MINES-ParisTech/ukfm.

Includes members:
  Member "exploiting symmetries to design ekfs with consistency properties for navigation and slam":
    also connected through other hyperedges:
      (none)
  Member "contact aided invariant extended kalman filtering for legged robot state estimation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "rins w robust inertial navigation system on wheels")
  Member "a micro lie theory for state estimation in robotics":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "self supervised deep pose corrections for robust visual odometry")
  Member "an ekf slam algorithm with consistency properties":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "exploiting symmetries to design ekfs with consistency properties for navigation and slam")
  Member "quaternion kinematics for the error state kalman filter":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "linear time variational integrators in maximal coordinates")
  Member "the invariant extended kalman filter as a stable observer":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a new approach to 3d icp covariance estimation")
  Member "intrinsic filtering on lie groups with applications to attitude estimation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a mathematical framework for imu error propagation with applications to preintegration")
  Member "integrating generic sensor fusion algorithms with sound state representations through encapsulation of manifolds":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "least squares optimization from theory to practice")

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)