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: "resilience by reconfiguration exploiting heterogeneity in robot teams"
  Abstract: We propose a method to maintain high resource in a networked heterogeneous multi-robot system to resource failures. In our model, resources such as and computation are available on robots. The robots engaged in a joint task using these pooled resources. In our model, a resource on a particular robot becomes unavailable e.g., a sensor ceases to function due to a failure), the system reconfigures so that the robot continues to have to this resource by communicating with other robots. Specifically, we consider the problem of selecting edges to be in the system's communication graph after a resource has occurred. We define a metric that allows us to characterize the quality of the resource distribution in the represented by the communication graph. Upon a resource becoming unavailable due to failure, we reconfigure network so that the resource distribution is brought as to the ideal resource distribution as possible without a big change in the communication cost. Our approach uses integer semi-definite programming to achieve this goal. We also provide a simulated annealing method to compute a formation that satisfies the inter-robot distances imposed by the topology, along with other constraints. Our method can compute a communication topology, spatial formation, and formation change motion planning in a few seconds. We validate our method in simulation and real-robot experiments with a team of seven quadrotors.

Connected through hyperedge HE-1 (induced by source paper "a sequential composition framework for coordinating multi robot behaviors"):
  with members:
    - "control barrier functions theory and applications"
    - "hierarchical decomposition of ltl synthesis problem for nonlinear control systems"
    - "hierarchically consistent motion primitives for quadrotor coordination"
    - "composition of safety constraints with applications to decentralized fixed wing collision avoidance"
    - "fault tolerant control for networked mobile robots"
    - "fast and in sync periodic swarm patterns for quadrotors"
    - "control of multi agent systems with finite time control barrier certificates and temporal logic"
    - "survey of important issues in uav communication networks"

Connected through hyperedge HE-2 (induced by source paper "inferring and learning multi robot policies by observing an expert"):
  with members:
    - "multi robot deep reinforcement learning with macro actions"
    - "a reinforcement learning framework for sequencing multi robot behaviors"
    - "a sequential composition framework for coordinating multi robot behaviors"
    - "fault tolerant control for networked mobile robots"
    - "multi agent imitation learning for driving simulation"
    - "imitation from observation learning to imitate behaviors from raw video via context translation"
    - "time contrastive networks self supervised learning from video"
    - "the robotarium a remotely accessible swarm robotics research testbed"

Connected through hyperedge HE-3 (induced by source paper "resilient coverage exploring the local to global trade off"):
  with members:
    - "care cooperative autonomy for resilience and efficiency of robot teams for complete coverage of unknown environments under robot failures"
    - "resilient active target tracking with multiple robots"

Connected through hyperedge HE-4 (induced by source paper "resilience in multi robot target tracking through reconfiguration"):
  with members:
    - "controllability metrics limitations and algorithms for complex networks"

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)