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: "modeling curiosity in a mobile robot for long term autonomous exploration and monitoring"
  Abstract: This paper presents a novel approach to modeling curiosity in a mobile robot, which is useful for monitoring and adaptive data collection tasks, especially in the context of long term autonomous missions where pre-programmed missions are likely to have limited utility. We use a realtime topic modeling technique to build a semantic perception model of the environment, using which, we plan a path through the locations in the world with high semantic information content. The life-long learning behavior of the proposed perception model makes it suitable for long-term exploration missions. We validate the approach using simulated exploration experiments using aerial and underwater data, and demonstrate an implementation on the Aqua underwater robot in a variety of scenarios. We find that the proposed exploration paths that are biased towards locations with high topic perplexity, produce better terrain models with high discriminative power. Moreover, we show that the proposed algorithm implemented on Aqua robot is able to do tasks such as coral reef inspection, diver following, and sea floor exploration, without any prior training or preparation.

Connected through hyperedge HE-1 (induced by source paper "active reward learning for co robotic vision based exploration in bandwidth limited environments"):
  with members:
    - "information guided robotic maximum seek and sample in partially observable continuous environments"
    - "streaming scene maps for co robotic exploration in bandwidth limited environments"
    - "the unreasonable effectiveness of deep features as a perceptual metric"
    - "an approach to autonomous science by modeling geological knowledge in a bayesian framework"
    - "feature discovery and visualization of robot mission data using convolutional autoencoders and bayesian nonparametric topic models"
    - "unsupervised deep feature extraction for remote sensing image classification"
    - "anomaly detection in unstructured environments using bayesian nonparametric scene modeling"
    - "decaf a deep convolutional activation feature for generic visual recognition"

Connected through hyperedge HE-2 (induced by source paper "persistification of robotic tasks"):
  with members:
    - "control barrier functions theory and applications"
    - "constraint driven coordinated control of multi robot systems"
    - "the robotarium a remotely accessible swarm robotics research testbed"
    - "persistent robotic tasks monitoring and sweeping in changing environments"

Connected through hyperedge HE-3 (induced by source paper "streaming scene maps for co robotic exploration in bandwidth limited environments"):
  with members:
    - "an approach to autonomous science by modeling geological knowledge in a bayesian framework"
    - "gibbs sampling strategies for semantic perception of streaming video data"
    - "anomaly detection in unstructured environments using bayesian nonparametric scene modeling"

Connected through hyperedge HE-4 (induced by source paper "an informative path planning framework for uav based terrain monitoring"):
  with members:
    - "sampling based incremental information gathering with applications to robotic exploration and environmental monitoring"
    - "hindsight is only 50 50 unsuitability of mdp based approximate pomdp solvers for multi resolution information gathering"
    - "a data driven approach for autonomous motion planning and control in off road driving scenarios"
    - "algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning"
    - "multiresolution mapping and informative path planning for uav based terrain monitoring"
    - "dynamic system identification and control for a cost effective open source vtol mav"
    - "weednet dense semantic weed classification using multispectral images and mav for smart farming"
    - "pomdp lite for robust robot planning under uncertainty"

Connected through hyperedge HE-5 (induced by source paper "multi modal active perception for information gathering in science missions"):
  with members:
    - "data driven learning and planning for environmental sampling"
    - "an approach to autonomous science by modeling geological knowledge in a bayesian framework"
    - "loopy belief propagation for approximate inference an empirical study"
    - "learning bayesian networks the combination of knowledge and statistical data"
    - "finding approximate pomdp solutions through belief compression"

Connected through hyperedge HE-6 (induced by source paper "an approach to autonomous science by modeling geological knowledge in a bayesian framework"):
  with members:
    - "learning bayesian networks the combination of knowledge and statistical data"
    - "near optimal nonmyopic value of information in graphical models"

Connected through hyperedge HE-7 (induced by source paper "anomaly detection in unstructured environments using bayesian nonparametric scene modeling"):
  with members:
    - "gibbs sampling strategies for semantic perception of streaming video data"

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)