human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "high level robot programming based on cad dealing with unpredictable environments"):
  Abstract: Purpose – The purpose of this paper is to present a CAD‐based human‐robot interface that allows non‐expert users to teach a robot in a manner similar to that used by human beings to teach each other.Design/methodology/approach – Intuitive robot programming is achieved by using CAD drawings to generate robot programs off‐line. Sensory feedback allows minimization of the effects of uncertainty, providing information to adjust the robot paths during robot operation.Findings – It was found that it is possible to generate a robot program from a common CAD drawing and run it without any major concerns about calibration or CAD model accuracy.Research limitations/implications – A limitation of the proposed system has to do with the fact that it was designed to be used for particular technological applications.Practical implications – Since most manufacturing companies have CAD packages in their facilities today, CAD‐based robot programming may be a good option to program robots without the need for skilled robot ...

Includes members:
  Member "discretization and fitting of nominal data for autonomous robots":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "direct off line robot programming via a common cad package")
  Member "direct off line robot programming via a common cad package":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "object detection and motion planning for automated welding of tubular joints")
  Member "an optimal fuzzy pi force motion controller to increase industrial robot autonomy":
    also connected through other hyperedges:
      (none)
  Member "high level programming and control for industrial robotics using a hand held accelerometer based input device for gesture and posture recognition":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "motion imitation based on sparsely sampled correspondence")
  Member "accelerometer based control of an industrial robotic arm":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "motion imitation based on sparsely sampled correspondence")

Question: Please tell me which class the source paper 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)