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: "decentralized impedance control for cooperative manipulation of multiple underwater vehicle manipulator systems under lean communication"
  Abstract: This paper addresses the problem of cooperative object transportation for multiple Underwater Vehicle Manipulator Systems (UVMSs) in a constrained workspace with static obstacles, where the coordination relies solely on implicit communication arising from the physical interaction of the robots with the commonly grasped object. We propose a novel distributed leader-follower architecture, where the leading UVMS, which has knowledge of the object's desired trajectory, tries to achieve the desired tracking behavior via an impedance control law, navigating in this way, the overall formation towards the goal configuration while avoiding collisions with the obstacles. On the other hand, the following UVMSs estimate the object's desired trajectory via a novel prescribed performance estimation law and implement a similar impedance control law. The feedback relies on each UVMS's force/torque measurements and no explicit data is exchanged online among the robots. Moreover, the control scheme adopts load sharing among the UVMSs according to their specific payload capabilities. Finally, various simulation studies clarify the proposed method and verify its efficiency.

Connected through hyperedge HE-1 (induced by source paper "robust trajectory tracking control for underactuated autonomous underwater vehicles"):
  with members:
    - "a distributed predictive control approach for cooperative manipulation of multiple underwater vehicle manipulator systems"
    - "design and experimental validation of tube based mpc for timed constrained robot planning"
    - "robust tube based model predictive control for time constrained robot navigation"
    - "control synthesis for multi agent systems under metric interval temporal logic specifications"
    - "a robust model predictive control approach for autonomous underwater vehicles operating in a constrained workspace"
    - "probabilistic plan synthesis for coupled multi agent systems"
    - "on the timed temporal logic planning of coupled multi agent systems"
    - "robust distance based formation control of multiple rigid bodies with orientation alignment"

Connected through hyperedge HE-2 (induced by source paper "results from the robocademy itn autonomy disturbance rejection and perception for advanced marine robotics"):
  with members:
    - "robust trajectory tracking control for underactuated autonomous underwater vehicles"
    - "a distributed predictive control approach for cooperative manipulation of multiple underwater vehicle manipulator systems"
    - "improving sonar image patch matching via deep learning"
    - "decentralized abstractions and timed constrained planning of a general class of coupled multi agent systems"
    - "a nonlinear model predictive control scheme for cooperative manipulation with singularity and collision avoidance"
    - "a robust model predictive control approach for autonomous underwater vehicles operating in a constrained workspace"
    - "squeezenet alexnet level accuracy with 50x fewer parameters and 0 5mb model size"
    - "a robust force control approach for underwater vehicle manipulator systems"

Connected through hyperedge HE-3 (induced by source paper "a distributed predictive control approach for cooperative manipulation of multiple underwater vehicle manipulator systems"):
  with members:
    - "communication based decentralized cooperative object transportation using nonlinear model predictive control"
    - "decentralized abstractions and timed constrained planning of a general class of coupled multi agent systems"
    - "a nonlinear model predictive control scheme for cooperative manipulation with singularity and collision avoidance"
    - "a robust model predictive control approach for autonomous underwater vehicles operating in a constrained workspace"
    - "a robust force control approach for underwater vehicle manipulator systems"

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)