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 "certifiably globally optimal extrinsic calibration from per sensor egomotion"):
  Abstract: We present a certifiably globally optimal algorithm for determining the extrinsic calibration between two sensors that are capable of producing independent egomotion estimates. This problem has been previously solved using a variety of techniques, including local optimization approaches that have no formal global optimality guarantees. We use a quadratic objective function to formulate calibration as a quadratically constrained quadratic program (QCQP). By leveraging recent advances in the optimization of QCQPs, we are able to use existing semidefinite program solvers to obtain a certifiably global optimum via the Lagrangian dual problem. Our problem formulation can be globally optimized by existing general-purpose solvers in less than a second, regardless of the number of measurements available and the noise level. This enables a variety of robotic platforms to rapidly and robustly compute and certify a globally optimal set of calibration parameters without a prior estimate or operator intervention. We compare the performance of our approach with a local solver on extensive simulations and multiple real datasets. Finally, we present necessary observability conditions that connect our approach to recent theoretical results and analytically support the empirical performance of our system.

Includes members:
  Member "self calibration of mobile manipulator kinematic and sensor extrinsic parameters through contact based interaction":
    also connected through other hyperedges:
      (none)
  Member "rotation averaging and strong duality":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the distribution of minima in intrinsic metric rotation averaging")
  Member "entropy based sim 3 calibration of 2d lidars to egomotion sensors":
    also connected through other hyperedges:
      (none)
  Member "a certifiably correct algorithm for synchronization over the special euclidean group":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "bayesian pose graph optimization via bingham distributions and tempered geodesic mcmc")
  Member "efficient global point cloud alignment using bayesian nonparametric mixtures":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "can generalised relative pose estimation solve sparse 3d registration")
  Member "lagrangian duality in 3d slam verification techniques and optimal solutions":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "probabilistic regression of rotations using quaternion averaging and a deep multi headed network")
  Member "hand eye and robot world calibration by global polynomial optimization":
    also connected through other hyperedges:
      (none)

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)