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: "a nonlinear model predictive control scheme for cooperative manipulation with singularity and collision avoidance"
  Abstract: This paper addresses the problem of cooperative transportation of an object rigidly grasped by $N$ robotic agents. In particular, we propose a Nonlinear Model Predictive Control (NMPC) scheme that guarantees the navigation of the object to a desired pose in a bounded workspace with obstacles, while complying with certain input saturations of the agents. Moreover, the proposed methodology ensures that the agents do not collide with each other or with the workspace obstacles as well as that they do not pass through singular configurations. The feasibility and convergence analysis of the NMPC are explicitly provided. Finally, simulation results illustrate the validity and efficiency of the proposed method.

Connected through hyperedge HE-1 (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"
    - "decentralized impedance control for cooperative manipulation of multiple underwater vehicle manipulator systems under lean communication"
    - "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 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-2 (induced by source paper "a distributed predictive control approach for cooperative manipulation of multiple underwater vehicle manipulator systems"):
  with members:
    - "decentralized impedance control for cooperative manipulation of multiple underwater vehicle manipulator systems under lean communication"
    - "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 robust model predictive control approach for autonomous underwater vehicles operating in a constrained workspace"
    - "a robust force control approach for underwater vehicle manipulator systems"

Connected through hyperedge HE-3 (induced by source paper "decentralized impedance control for cooperative manipulation of multiple underwater vehicle manipulator systems under lean communication"):
  with members:
    - "communication based decentralized cooperative object transportation using nonlinear model predictive control"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "communication based decentralized cooperative object transportation using nonlinear model predictive control"):
  with members:
    - "decentralized control of uncertain multi agent systems with connectivity maintenance and collision avoidance"
    - "distributed cooperative manipulation under timed temporal specifications"

Connected through hyperedge HE-5 (induced by source paper "motion and cooperative transportation planning for multi agent systems under temporal logic formulas"):
  with members:
    - "decentralized abstractions for feedback interconnected multi agent systems"

Connected through hyperedge HE-6 (induced by source paper "robust cooperative manipulation without force torque measurements control design and experiments"):
  with members:
    - "robust formation control in se 3 for tree graph structures with prescribed transient and steady state performance"
    - "communication based decentralized cooperative object transportation using nonlinear model predictive control"

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)