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: "synthesis of distributed control and communication schemes from global ltl specifications"
  Abstract: We introduce a technique for synthesis of control and communication strategies for a team of agents from a global task specification given as a Linear Temporal Logic (LTL) formula over a set of properties that can be satisfied by the agents. We consider a purely discrete scenario, in which the dynamics of each agent is modeled as a finite transition system. The proposed computational framework consists of two main steps. First, we extend results from concurrency theory to check whether the specification is distributable among the agents. Second, we generate individual control and communication strategies by using ideas from LTL model checking. We apply the method to automatically deploy a team of miniature cars in our Robotic Urban-Like Environment.

Connected through hyperedge HE-1 (induced by source paper "an abstraction free method for multi robot temporal logic optimal control synthesis"):
  with members:
    - "stylus a temporal logic optimal control synthesis algorithm for large scale multi robot systems"
    - "control of magnetic microrobot teams for temporal micromanipulation tasks"
    - "learning sampling distributions for robot motion planning"
    - "decentralized abstractions for multi agent systems under coupled constraints"
    - "sampling based temporal logic path planning"
    - "optimal multi robot path planning with ltl constraints guaranteeing correctness through synchronization"
    - "sampling based algorithms for optimal motion planning"
    - "linear encodings of bounded ltl model checking"

Connected through hyperedge HE-2 (induced by source paper "stylus a temporal logic optimal control synthesis algorithm for large scale multi robot systems"):
  with members:
    - "probabilistically safe corridors to guide sampling based motion planning"
    - "monte carlo tree search for efficient visually guided rearrangement planning"
    - "t a heuristic search based algorithm for motion planning with temporal goals"
    - "control of magnetic microrobot teams for temporal micromanipulation tasks"
    - "learning sampling distributions for robot motion planning"
    - "decentralized abstractions for multi agent systems under coupled constraints"
    - "sampling based temporal logic path planning"
    - "optimal multi robot path planning with ltl constraints guaranteeing correctness through synchronization"

Connected through hyperedge HE-3 (induced by source paper "control of magnetic microrobot teams for temporal micromanipulation tasks"):
  with members:
    - "sampling based optimal control synthesis for multi robot systems under global temporal tasks"
    - "optimal multi robot path planning with ltl constraints guaranteeing correctness through synchronization"
    - "optimal path planning under temporal logic constraints"

Connected through hyperedge HE-4 (induced by source paper "sampling based optimal control synthesis for multi robot systems under global temporal tasks"):
  with members:
    - "decentralized abstractions for multi agent systems under coupled constraints"
    - "sampling based temporal logic path planning"
    - "sampling based algorithms for optimal motion planning"

Connected through hyperedge HE-5 (induced by source paper "simultaneous intermittent communication control and path optimization in networks of mobile robots"):
  with members:
    - "cooperative decentralized multi agent control under local ltl tasks and connectivity constraints"

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)