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: "high level programming and control for industrial robotics using a hand held accelerometer based input device for gesture and posture recognition"
  Abstract: Purpose – Most industrial robots are still programmed using the typical teaching process, through the use of the robot teach pendant. This is a tedious and time‐consuming task that requires some technical expertise, and hence new approaches to robot programming are required. The purpose of this paper is to present a robotic system that allows users to instruct and program a robot with a high‐level of abstraction from the robot language.Design/methodology/approach – The paper presents in detail a robotic system that allows users, especially non‐expert programmers, to instruct and program a robot just showing it what it should do, in an intuitive way. This is done using the two most natural human interfaces (gestures and speech), a force control system and several code generation techniques. Special attention will be given to the recognition of gestures, where the data extracted from a motion sensor (three‐axis accelerometer) embedded in the Wii remote controller was used to capture human hand behaviours. G...

Connected through hyperedge HE-1 (induced by source paper "motion imitation based on sparsely sampled correspondence"):
  with members:
    - "accelerometer based control of an industrial robotic arm"

Connected through hyperedge HE-2 (induced by source paper "implementation and evaluation of multimodal input output channels for task based industrial robot programming"):
  with members:
    - "high level robot programming based on cad dealing with unpredictable environments"

Connected through hyperedge HE-3 (induced by source paper "real time and continuous hand gesture spotting an approach based on artificial neural networks"):
  with members:
    - "accelerometer based control of an industrial robotic arm"

Connected through hyperedge HE-4 (induced by source paper "high level robot programming based on cad dealing with unpredictable environments"):
  with members:
    - "discretization and fitting of nominal data for autonomous robots"
    - "direct off line robot programming via a common cad package"
    - "an optimal fuzzy pi force motion controller to increase industrial robot autonomy"
    - "accelerometer based control of an industrial robotic arm"

Connected through hyperedge HE-5 (induced by source paper "a low cost laser scanning solution for flexible robotic cells spray coating"):
  with members:
    - "accelerometer based control of an industrial robotic arm"

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)