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 "distributed state estimation using intermittently connected robot networks"):
  Abstract: This paper considers the problem of distributed state estimation (DSE) using multirobot systems. The robots have limited communication capabilities and, therefore, communicate their measurements intermittently only when they are physically close to each other. To decrease the distance that the robots need to travel only to communicate, we divide them into small teams that can communicate at different locations to share information and update their beliefs. Then, we propose a new distributed scheme that combines: first, communication schedules that ensure that the network is intermittently connected, and second, sampling-based motion planning for the robots in every team with the objective to collect optimal measurements and decide a location for those robots to communicate. To the best of our knowledge, this is the first DSE framework that relaxes all network connectivity assumptions, and controls intermittent communication events so that the estimation uncertainty is minimized. We present simulation results that demonstrate significant improvement in estimation accuracy compared to methods that maintain an end-to-end connected network for all time.

Includes members:
  Member "model based active source identification in complex environments":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "varnet variational neural networks for the solution of partial differential equations")
  Member "distributed active state estimation with user specified accuracy":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "model based learning of turbulent flows using mobile robots")
  Member "distributed hierarchical control for state estimation with robotic sensor networks":
    also connected through other hyperedges:
      (none)
  Member "simultaneous intermittent communication control and path optimization in networks of mobile robots":
    also connected through other hyperedges:
      (none)
  Member "information acquisition with sensing robots algorithms and error bounds":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "decentralized multi target tracking in urban environments overview and challenges")
  Member "decentralized estimation of laplacian eigenvalues in multi agent systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "fully distributed event triggered protocols for linear multi agent networks")
  Member "sampling based algorithms for optimal motion planning":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "3d dynamic scene graphs actionable spatial perception with places objects and humans")

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)