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 "identifying vessel branching from fluid stresses on microscopic robots"):
  Abstract: Abstract   Objects moving in fluids experience patterns of stress on their surfaces determined by the geometry of nearby boundaries. Flows at low Reynolds number, as occur in microscopic vessels such as capillaries in biological tissues, have relatively simple relations between stresses and nearby vessel geometry. Using these relations, a microscopic robot moving with such flows can use changes in stress on its surface to identify when it encounters vessel branches. This chapter describes how such robots, with limited computational capability, can classify these stress patterns as an aid to navigation in small vessels. The accuracy of this classification it evaluated with simulated flow examples. This evaluation includes the effects of the choice of classification threshold and sensor noise on performance. Based on this evaluation, the chapter concludes by surveying how robots could use this classification and how they could combine it with additional information on their environments.

Includes members:
  Member "mechanical computing systems using only links and rotary joints":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "stress based navigation for microscopic robots in viscous fluids")
  Member "acoustic communication for medical nanorobots":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "energy dissipation by metamorphic micro robots in viscous fluids")

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)