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: "outdoor flocking and formation flight with autonomous aerial robots"
  Abstract: We present the first decentralized multi-copter flock that performs stable autonomous outdoor flight with up to 10 flying agents. By decentralized and autonomous we mean that all members navigate themselves based on the dynamic information received from other robots in the vicinity. We do not use central data processing or control; instead, all the necessary computations are carried out by miniature on-board computers. The only global information the system exploits is from GPS receivers, while the units use wireless modules to share this positional information with other flock members locally. Collective behavior is based on a decentralized control framework with bio-inspiration from statistical physical modelling of animal swarms. In addition, the model is optimized for stable group flight even in a noisy, windy, delayed and error-prone environment. Using this framework we successfully implemented several fundamental collective flight tasks with up to 10 units: i) we achieved self-propelled flocking in a bounded area with self-organized object avoidance capabilities and ii) performed collective target tracking with stable formation flights (grid, rotating ring, straight line). With realistic numerical simulations we demonstrated that the local broadcast-type communication and the decentralized autonomous control method allows for the scalability of the model for much larger flocks.

Connected through hyperedge HE-1 (induced by source paper "tracking of micro unmanned aerial vehicles a comparative study"):
  with members:
    - "discriminative correlation filter tracker with channel and spatial reliability"
    - "detect or track towards cost effective video object detection tracking"
    - "learning to track at 100 fps with deep regression networks"
    - "high speed tracking with kernelized correlation filters"

Connected through hyperedge HE-2 (induced by source paper "learning vision based flight in drone swarms by imitation"):
  with members:
    - "grad cam visual explanations from deep networks via gradient based localization"
    - "toward low flying autonomous mav trail navigation using deep neural networks for environmental awareness"
    - "cad2rl real single image flight without a single real image"
    - "delving deep into rectifiers surpassing human level performance on imagenet classification"
    - "adam a method for stochastic optimization"
    - "learning monocular reactive uav control in cluttered natural environments"
    - "a reduction of imitation learning and structured prediction to no regret online learning"

Connected through hyperedge HE-3 (induced by source paper "security privacy and safety evaluation of dynamic and static fleets of drones"):
  with members:
    - "serverless protocols for inventory and tracking with a uav"
    - "an empirical study of the power consumption of cryptographic primitives in android"
    - "survey of important issues in uav communication networks"
    - "vbca a virtual forces clustering algorithm for autonomous aerial drone systems"
    - "learning monocular reactive uav control in cluttered natural environments"

Connected through hyperedge HE-4 (induced by source paper "cost adaptation for robust decentralized swarm behaviour"):
  with members:
    - "underwater multi robot convoying using visual tracking by detection"
    - "control of a quadrotor with reinforcement learning"
    - "adaptive simulated annealing asa lessons learned"

Connected through hyperedge HE-5 (induced by source paper "on board communication based relative localization for collision avoidance in micro air vehicle teams"):
  with members:
    - "efficient optical flow and stereo vision for velocity estimation and obstacle avoidance on an autonomous pocket drone"
    - "local histogram matching for efficient optical flow computation applied to velocity estimation on pocket drones"
    - "optical flow based self supervised learning of obstacle appearance applied to mav landing"
    - "3 d reciprocal collision avoidance on physical quadrotor helicopters with on board sensing for relative positioning"

Connected through hyperedge HE-6 (induced by source paper "real time stochastic optimal control for multi agent quadrotor systems"):
  with members:
    - "gpu based path integral control with learned dynamics"
    - "latent kullback leibler control for continuous state systems using probabilistic graphical models"
    - "probabilistic planning for continuous dynamic systems under bounded risk"
    - "path integral control by reproducing kernel hilbert space embedding"
    - "path integral policy improvement with covariance matrix adaptation"

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)