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: "essential properties of numerical integration for time optimal path constrained trajectory planning"
  Abstract: This letter summarizes  some known properties  and also presents  several new properties   of the numerical integration ( NI ) method for time-optimal trajectory planning along a specified path. The contribution is that  rigorous mathematical proofs  of these properties are presented, most of which have not been reported in existing literatures. We first give some properties regarding switch points and accelerating/decelerating curves of the  NI  method. Then, for the fact that when kinematic constraints are considered, the original version of  NI  that only considers torque constraints may results in failure of trajectory planning, we give the concrete failure conditions with rigorous mathematical proof. Accordingly, a failure detection algorithm is given in a “run-and-test” manner. Some simulation results on a unicycle vehicle are provided to verify those presented properties. Note that though those  known properties  are not discovered first, their mathematical proofs are given first in this letter. The detailed proofs make the theory of  NI  more complete and help interested readers to gain a thorough understanding of the method.

Connected through hyperedge HE-1 (induced by source paper "time optimal path tracking for industrial robots a dynamic model free reinforcement learning approach"):
  with members:
    - "deep reinforcement learning for time optimal velocity control using prior knowledge"
    - "deep reinforcement learning for high precision assembly tasks"
    - "a new approach to time optimal path parameterization based on reachability analysis"
    - "a general fast and robust implementation of the time optimal path parameterization algorithm"

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)