human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "decentralized self organizing potential field based control for individually motivated mobile agents in a cluttered environment a vector harmonic potential field approach"
  Abstract: Spatial multiagency has been receiving growing attention from researchers exploring many of the aspects and modalities of this phenomenon. The aim is to develop the theoretical background needed for a multitude of applications involving the sharing of resources by more than one agent. A traffic management system is one of these applications. Here, a large group of mobile robots that are operating in communication-limited, and sensory-limited modes are required to cope with each others presence as well as the contents of their environment while preserving their ability to reach their preset independent goals. This paper explores the construction of a decentralized traffic controller for a large group of agents sharing a workspace with stationary forbidden regions. The suggested multiagent motion controller is complete provided that a lenient condition on the geometry of the workspace is upheld. It has a low computational effort that linearly increases with the number of agents. The controller is also self-organizing; therefore, it is able to deal, on its own, with incomplete information and unexpected situations. In addition to the above, the controller has an open structure to enable any agent to join or leave the group without the remaining agents having to adjust the manner in which they function. To meet these requirements, a definition of decentralization is suggested. This definition equates decentralization to self-organization in a group of agents operating in an artificial-life mode. The definition is used to provide guidelines for the construction of the multiagent controller. The controller is realized using the potential field approach. Theoretical developments, as well as simulation results, are provided

Connected through hyperedge HE-1 (induced by source paper "static force field representation of environments based on agents nonlinear motions"):
  with members:
    - "incremental learning of environment interactive structures from trajectories of individuals"
    - "online pedestrian group walking event detection using spectral analysis of motion similarity graph"
    - "map aware models for indoor wireless localization systems an experimental study"

Connected through hyperedge HE-2 (induced by source paper "nearest neighbor based rendezvous for sparsely connected mobile agents"):
  with members:
    - "a harmonic potential approach for simultaneous planning and control of a generic uav platform"
    - "kinodynamic motion planning"

Connected through hyperedge HE-3 (induced by source paper "a harmonic potential field approach for joint planning and control of a rigid separable nonholonomic mobile robot"):
  with members:
    - "motion planning with gamma harmonic potential fields"
    - "a harmonic potential approach for simultaneous planning and control of a generic uav platform"
    - "a delay tolerant potential field based network implementation of an integrated navigation system"

Connected through hyperedge HE-4 (induced by source paper "a harmonic potential approach for simultaneous planning and control of a generic uav platform"):
  with members:
    - "kinodynamic motion planning"

Connected through hyperedge HE-5 (induced by source paper "a delay tolerant potential field based network implementation of an integrated navigation system"):
  with members:
    - "managing the dynamics of a harmonic potential field guided robot in a cluttered environment"

Question: Please tell me which class the center node 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)