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: "webotstm professional mobile robot simulation"
  Abstract: Cyberbotics Ltd. develops WebotsTM, a mobile robotics simulation software that provides you with a rapid prototyping environment for modelling, programming and simulating mobile robots. The provided robot libraries enable you to transfer your control programs to several commercially available real mobile robots. WebotsTM lets you define and modify a complete mobile robotics setup, even several different robots sharing the same environment. For each object, you can define a number of properties, such as shape, color, texture, mass, friction, etc. You can equip each robot with a large number of available sensors and actuators. You can program these robots using your favorite development environment, simulate them and optionally transfer the resulting programs onto your real robots. WebotsTM has been developed in collaboration with the Swiss Federal Institute of Technology in Lausanne, thoroughly tested, well documented and continuously maintained for over 7 years. It is now the main commercial product available from Cyberbotics Ltd.

Connected through hyperedge HE-1 (induced by source paper "cinemairsim a camera realistic robotics simulator for cinematographic purposes"):
  with members:
    - "flightgoggles photorealistic sensor simulation for perception driven robotics using photogrammetry and virtual reality"
    - "airsim high fidelity visual and physical simulation for autonomous vehicles"
    - "unrealcv connecting computer vision to unreal engine"
    - "automated cinematography with unmanned aerial vehicles"
    - "airways optimization based planning of quadrotor trajectories according to high level user goals"
    - "generic drone control platform for autonomous capture of cinema scenes"

Connected through hyperedge HE-2 (induced by source paper "scenic a language for scenario specification and scene generation"):
  with members:
    - "verifai a toolkit for the design and analysis of artificial intelligence based systems"
    - "configurable 3d scene synthesis and 2d image rendering with per pixel ground truth using stochastic grammars"
    - "megapixel size image creation using generative adversarial networks"
    - "carla an open urban driving simulator"
    - "domain randomization for transferring deep neural networks from simulation to the real world"
    - "deepxplore automated whitebox testing of deep learning systems"
    - "recurrent topic transition gan for visual paragraph generation"
    - "driving in the matrix can virtual worlds replace human generated annotations for real world tasks"

Connected through hyperedge HE-3 (induced by source paper "requirements driven test generation for autonomous vehicles with machine learning components"):
  with members:
    - "counterexample guided data augmentation"
    - "semantic adversarial deep learning"
    - "accelerated evaluation of automated vehicles safety in lane change scenarios based on importance sampling techniques"
    - "deep predictive models for collision risk assessment in autonomous driving"
    - "carla an open urban driving simulator"
    - "feature guided black box safety testing of deep neural networks"
    - "on a formal model of safe and scalable self driving cars"
    - "compositional falsification of cyber physical systems with machine learning components"

Connected through hyperedge HE-4 (induced by source paper "formal policy learning from demonstrations for reachability properties"):
  with members:
    - "learning control lyapunov functions from counterexamples and demonstrations"
    - "sound and automated synthesis of digital stabilizing controllers for continuous plants"
    - "plato policy learning using adaptive trajectory optimization"
    - "a theory of formal synthesis via inductive learning"
    - "controller synthesis with inductive proofs for piecewise linear systems an smt based algorithm"
    - "counter example guided synthesis of control lyapunov functions for switched systems"
    - "a reduction of imitation learning and structured prediction to no regret online learning"

Connected through hyperedge HE-5 (induced by source paper "qibullet a bullet based simulator for the pepper and nao robots"):
  with members:
    - "self supervised body image acquisition using a deep neural network for sensorimotor prediction"
    - "tossingbot learning to throw arbitrary objects with residual physics"
    - "when random search is not enough sample efficient and noise robust blackbox optimization of rl policies"
    - "sim to real learning agile locomotion for quadruped robots"
    - "comparing task simplifications to learn closed loop object picking using deep reinforcement learning"

Connected through hyperedge HE-6 (induced by source paper "mat fly an educational platform for simulating unmanned aerial vehicles aimed to detect and track moving objects"):
  with members:
    - "review modeling and classical controller of quad rotor"
    - "airsim high fidelity visual and physical simulation for autonomous vehicles"

Connected through hyperedge HE-7 (induced by source paper "simulation based adversarial test generation for autonomous vehicles with machine learning components"):
  with members:
    - "semantic adversarial deep learning"
    - "deep predictive models for collision risk assessment in autonomous driving"
    - "output range analysis for deep neural networks"
    - "systematic testing of convolutional neural networks for autonomous driving"
    - "deepxplore automated whitebox testing of deep learning systems"
    - "on a formal model of safe and scalable self driving cars"
    - "reluplex an efficient smt solver for verifying deep neural networks"
    - "compositional falsification of cyber physical systems with machine learning components"

Connected through hyperedge HE-8 (induced by source paper "oncilla robot a versatile open source quadruped research robot with compliant pantograph legs"):
  with members:
    - "the penn jerboa a platform for exploring parallel composition of templates"

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)