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: "self modifying morphology experiments with dyret dynamic robot for embodied testing"
  Abstract: Robots need to be able to adapt to complex and dynamic environments for widespread adoption, and adapting the body might yield more flexible and robust robots. Previous work on dynamic robot morphology has focused on simulation, combining simple modules, or switching between locomotion modes. This paper presents an alternative approach: automatic self-reconfiguration of morphology on a four-legged hardware robot. This allows active adaptation of morphology to different environments, and enables rapid tests of morphology with a single robot. In this paper, we report the design of our robot, as well as the results of a study that verifies the performance impact of self-reconfiguration. This study compares three different control and morphology pairs under different levels of servo supply voltage. Experiments were largely performed in the lab, with preliminary tests in an uncontrolled outdoor environment. Our results show that the robot achieves better performance by adapting its morphology, confirming the value of self-reconfiguration in a quadruped robot.

Connected through hyperedge HE-1 (induced by source paper "lessons learned from real world experiments with dyret the dynamic robot for embodied testing"):
  with members:
    - "evolving robots on easy mode towards a variable complexity controller for quadrupeds"
    - "evolved embodied phase coordination enables robust quadruped robot locomotion"
    - "exploring mechanically self reconfiguring robots for autonomous design"
    - "real world evolution adapts robot morphology and control to hardware limitations"

Connected through hyperedge HE-2 (induced by source paper "evolving robots on easy mode towards a variable complexity controller for quadrupeds"):
  with members:
    - "real world evolution adapts robot morphology and control to hardware limitations"
    - "robots that can adapt like animals"
    - "evolution of a subsumption architecture neurocontroller"

Connected through hyperedge HE-3 (induced by source paper "evolved embodied phase coordination enables robust quadruped robot locomotion"):
  with members:
    - "real world evolution adapts robot morphology and control to hardware limitations"
    - "evolving a behavioral repertoire for a walking robot"

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)