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: "robust collaborative object transportation using multiple mavs"
  Abstract: Collaborative object transportation using multiple Micro Aerial Vehicles (MAVs) with limited communication is a challenging problem. In this paper we address the problem of multiple MAVs mechanically coupled to a bulky object for transportation purposes without explicit communication between agents. The apparent physical properties of each agent are reshaped to achieve robustly stable transportation. Parametric uncertainties and unmodeled dynamics of each agent are quantified and techniques from robust control theory are employed to choose the physical parameters of each agent to guarantee stability. Extensive simulation analysis and experimental results show that the proposed method guarantees stability in worst case scenarios.

Connected through hyperedge HE-1 (induced by source paper "touch the wind simultaneous airflow drag and interaction sensing on a multirotor"):
  with members:
    - "contact inertial odometry collisions are your friend"
    - "neural lander stable drone landing control using learned dynamics"
    - "unscented external force and torque estimation for quadrotors"
    - "a critical review of recurrent neural networks for sequence learning"
    - "adam a method for stochastic optimization"

Connected through hyperedge HE-2 (induced by source paper "the shapeshifter a morphing multi agent multi modal robotic platform for the exploration of titan preprint version"):
  with members:
    - "bi directional value learning for risk aware planning under uncertainty"
    - "real time stochastic kinodynamic motion planning via multiobjective search on gpus"
    - "decentralized control of partially observable markov decision processes using belief space macro actions"
    - "simultaneous localization and planning for physical mobile robots via enabling dynamic replanning in belief space"

Connected through hyperedge HE-3 (induced by source paper "shapeshifter a multi agent multi modal robotic platform for exploration of titan"):
  with members:
    - "door slam distributed online and outlier resilient slam for robotic teams"
    - "simultaneous localization and planning for physical mobile robots via enabling dynamic replanning in belief space"

Connected through hyperedge HE-4 (induced by source paper "multi robot motion formation distributed control with sensor self calibration experimental validation"):
  with members:
    - "safe certificate based maneuvers for teams of quadrotors using differential flatness"
    - "distributed rotational and translational maneuvering of rigid formations and their applications"
    - "distributed scaling control of rigid formations"
    - "the robotarium a remotely accessible swarm robotics research testbed"
    - "controlling rigid formations of mobile agents under inconsistent measurements"

Connected through hyperedge HE-5 (induced by source paper "the eth mav team in the mbz international robotics challenge"):
  with members:
    - "a decentralized multi agent unmanned aerial system to search pick up and relocate objects"
    - "nonlinear model predictive control for multi micro aerial vehicle robust collision avoidance"
    - "aerial picking and delivery of magnetic objects with mavs"
    - "linear vs nonlinear mpc for trajectory tracking applied to rotary wing micro aerial vehicles"

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)