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: "mobile robotic fabrication at 1 1 scale the in situ fabricator"
  Abstract: This paper presents the concept of an In situ Fabricator, a mobile robot intended for on-site manufacturing, assembly and digital fabrication. We present an overview of a prototype system, its capabilities, and highlight the importance of high-performance control, estimation and planning algorithms for achieving desired construction goals. Next, we detail on two architectural application scenarios: first, building a full-size undulating brick wall, which required a number of repositioning and autonomous localisation manoeuvres. Second, the Mesh Mould concrete process, which shows that an In situ Fabricator in combination with an innovative digital fabrication tool can be used to enable completely novel building technologies. Subsequently, important limitations and disadvantages of our approach are discussed. Based on that, we identify the need for a new type of robotic actuator, which facilitates the design of novel full-scale construction robots. We provide brief insight into the development of this actuator and conclude the paper with an outlook on the next-generation In situ Fabricator, which is currently under development.

Connected through hyperedge HE-1 (induced by source paper "confusion sensor fusion for complex robotic systems using nonlinear optimization"):
  with members:
    - "vins mono a robust and versatile monocular visual inertial state estimator"
    - "on manifold preintegration for real time visual inertial odometry"
    - "visual inertial monocular slam with map reuse"
    - "an open source fiducial based visual inertial motion capture system"

Connected through hyperedge HE-2 (induced by source paper "trajectory optimization for a class of robots belonging to constrained collaborative mobile agents ccma family"):
  with members:
    - "an optimization framework for simulation and kinematic control of constrained collaborative mobile agents ccma system"
    - "efficient kinematic planning for mobile manipulators with non holonomic constraints using optimal control"

Connected through hyperedge HE-3 (induced by source paper "bim assisted object recognition for the on site autonomous robotic assembly of discrete structures"):
  with members:
    - "segicp integrated deep semantic segmentation and pose estimation"

Connected through hyperedge HE-4 (induced by source paper "automated sequence and motion planning for robotic spatial extrusion of 3d trusses"):
  with members:
    - "freeform assembly planning"
    - "sampling based methods for factored task and motion planning"
    - "ffrob leveraging symbolic planning for efficient task and motion planning"
    - "reuleaux robot base placement by reachability analysis"
    - "sampling based algorithms for optimal motion planning"
    - "the fast downward planning system"

Connected through hyperedge HE-5 (induced by source paper "automated motion planning for robotic assembly of discrete architectural structures"):
  with members:
    - "freeform assembly planning"
    - "sampling based methods for factored task and motion planning"
    - "reuleaux robot base placement by reachability analysis"
    - "sampling based algorithms for optimal motion planning"
    - "the fast downward planning system"

Connected through hyperedge HE-6 (induced by source paper "printing while moving a new paradigm for large scale robotic 3d printing"):
  with members:
    - "closed chain manipulation of large objects by multi arm robotic systems"
    - "robotsp a fast solution to the robotic task sequencing problem"
    - "introducing slambench a performance and accuracy benchmarking methodology for slam"

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)