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 "configuration space flipper planning on 3d terrain"):
  Abstract: Autonomous run is always a goal in the field of rescue robot and the utilization of flipper will strongly improve the mobility and safety of robot. In this work, we simplify the rescue robot as a skeleton on inflated terrain. Its morphology can be represented by configuration of several parameters. Based on our previous paper, we further configure four flippers individually. The proposed flipper planning is of a mobile movement on 3D terrain with 2.5D maps. The experiment shows that our method can well tackle various terrain and have high efficiency on manipulating the flippers.

Includes members:
  Member "configuration space flipper planning for rescue robots":
    also connected through other hyperedges:
      (none)
  Member "incrementally building topology graphs via distance maps":
    also connected through other hyperedges:
      (none)
  Member "controlling robot morphology from incomplete measurements":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "opeb open physical environment benchmark for artificial intelligence")

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)