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: "kinodynamic motion planning"
  Abstract: This article extends the capabilities of the harmonic potential field (HPF) approach to planning to cover both the kinematic and dynamic aspects of a robot's motion. The suggested approach converts the gradient guidance field from a harmonic potential to a control signal by augmenting it with a novel type of damping forces called nonlinear, anisotropic, damping forces (NADF). The HPF (harmonic potential field) approach to planning is emerging as a powerful paradigm for the guidance of autonomous agents.

Connected through hyperedge HE-1 (induced by source paper "sensor based time critical mobility of autonomous robots in cluttered spaces a harmonic potential approach"):
  with members:
    - "a harmonic potential field approach for joint planning and control of a rigid separable nonholonomic mobile robot"
    - "motion planning with gamma harmonic potential fields"
    - "a harmonic potential approach for simultaneous planning and control of a generic uav platform"
    - "a delay tolerant potential field based network implementation of an integrated navigation system"

Connected through hyperedge HE-2 (induced by source paper "nearest neighbor based rendezvous for sparsely connected mobile agents"):
  with members:
    - "a harmonic potential approach for simultaneous planning and control of a generic uav platform"
    - "decentralized self organizing potential field based control for individually motivated mobile agents in a cluttered environment a vector harmonic potential field approach"

Connected through hyperedge HE-3 (induced by source paper "a harmonic potential approach for simultaneous planning and control of a generic uav platform"):
  with members:
    - "decentralized self organizing potential field based control for individually motivated mobile agents in a cluttered environment a vector harmonic potential field approach"

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)