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 "real time area coverage and target localization using receding horizon ergodic exploration"):
  Abstract: Although a number of solutions exist for the problems of coverage, search and target localization---commonly addressed separately---whether there exists a unified strategy that addresses these objectives in a coherent manner without being application-specific remains a largely open research question. In this paper, we develop a receding-horizon ergodic control approach, based on hybrid systems theory, that has the potential to fill this gap. The nonlinear model predictive control algorithm plans real-time motions that optimally improve ergodicity with respect to a distribution defined by the expected information density across the sensing domain. We establish a theoretical framework for global stability guarantees with respect to a distribution. Moreover, the approach is distributable across multiple agents, so that each agent can independently compute its own control while sharing statistics of its coverage across a communication network. We demonstrate the method in both simulation and in experiment in the context of target localization, illustrating that the algorithm is independent of the number of targets being tracked and can be run in real-time on computationally limited hardware platforms.

Includes members:
  Member "communication free distributed coverage for networked systems":
    also connected through other hyperedges:
      (none)
  Member "autonomous visual rendering using physical motion":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the optimality of ergodic trajectories for information gathering tasks")
  Member "dynamic task execution using active parameter identification with the baxter research robot":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "active learning of dynamics for data driven control using koopman operators")
  Member "iterative sequential action control for stable model based control of nonlinear systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "task based hybrid shared control for training through forceful interaction")
  Member "sequential action control closed form optimal control for nonlinear and nonsmooth systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "active learning of dynamics for data driven control using koopman operators")
  Member "ergodic exploration of distributed information":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "active area coverage from equilibrium")
  Member "multi robot informative path planning for active sensing of environmental phenomena a tale of two algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "informative path planning for mobile sensing with reinforcement learning")
  Member "persistent robotic tasks monitoring and sweeping in changing environments":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "multi robot persistent surveillance with connectivity constraints")

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)