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 "using inertial sensors for position and orientation estimation"):
  Abstract: In recent years, micro-machined electromechanical system (MEMS) inertial sensors (3D accelerometers and 3D gyroscopes) have become widely available due to their small size and low cost. Inertial se ...

Includes members:
  Member "on manifold preintegration for real time visual inertial odometry":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "perception and decision making of autonomous systems in the era of learning an overview")
  Member "magnetometer calibration using inertial sensors":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "gyroscope calibration via magnetometer")
  Member "towards self calibrating inertial body motion capture":
    also connected through other hyperedges:
      (none)
  Member "a primer on the differential calculus of 3d orientations":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "codeslam learning a compact optimisable representation for dense visual slam")
  Member "past present and future of simultaneous localization and mapping toward the robust perception age":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "perception and decision making of autonomous systems in the era of learning an overview")
  Member "unscented orientation estimation based on the bingham distribution":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "directional grid maps modeling multimodal angular uncertainty in dynamic environments")
  Member "robust inference for state space models with skewed measurement noise":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "skew t filter and smoother with improved covariance matrix approximation")
  Member "modeling and interpolation of the ambient magnetic field by gaussian processes":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "sleipnir deterministic and provably accurate feature expansion for gaussian process regression with derivatives")

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)