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: "limits to rover miniaturisation and their implications for solar system exploration"
  Abstract: Semiautonomous rover scaling is examined for exploration throughout the solar system. Communications to a relay orbiter is a major constraint, due to power requirements and decreasing antenna gain at small sizes. Also, analysis time scales adversely for power hungry Raman or surface abrasion, and also for low photon count gamma ray spectroscopy. 1 cm scale rovers with a MER like capability should be possible, and could operate on solar power to 40 AU. At 2 cm, rovers powered by current RTGs are feasible, and are useful in the outer solar system. Such rovers will return images, autonomously navigate from interest point to interest point, and autonomously deploy instruments. Analyses include elemental APX and gamma ray spectroscopy for elemental and Raman and IR spectroscopy for molecular and or mineralogical compositions. They can be built with current technology, the component size is similar to watch movements. Low temperatures are not an obstacle. Very high temperatures, e.g. 390 to 480 C for surface Venus, will require more work on high temperature electronics, but current work suggests that dense ICs for Venusian conditions should be feasible in the near future. Mm size rovers, designed primarily for imaging, are feasible at inner solar system solar flux levels. If deployed in large numbers, manufacturing developments would be needed to allow mechanised assembly of multiple MEMS systems. Miniature, degassing to space, RTGs could provide power in cold vacuum environments, as could advanced betavoltaic systems, though much work would be required to develop the latter.

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)