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: "a certified complete bimanual manipulation planner"
  Abstract: Planning motions for two robot arms to move an object collaboratively is a difficult problem, mainly because of the closed-chain constraint, which arises whenever two robot hands simultaneously grasp a single rigid object. In this paper, we propose a manipulation planning algorithm to bring an object from an initial stable placement (position and orientation of the object on the support surface) towards a goal stable placement. The key specificity of our algorithm is that it is certified-complete: for a given object and a given environment, we provide a certificate that the algorithm will find a solution to any bimanual manipulation query in that environment whenever one exists. Moreover, the certificate is constructive: at run-time, it can be used to quickly find a solution to a given query. The algorithm is tested in software and hardware on a number of large pieces of furniture.

Connected through hyperedge HE-1 (induced by source paper "designing a mechanical tool for robots with two finger parallel grippers"):
  with members:
    - "a double jaw hand designed for multi object assembly"
    - "a hand combining two simple grippers to pick up and arrange objects for assembly"
    - "arm manipulation planning of tethered tools with the help of a tool balancer"
    - "closed chain manipulation of large objects by multi arm robotic systems"
    - "manipulation planning under changing external forces"
    - "teaching robots to do object assembly using multi modal 3d vision"

Connected through hyperedge HE-2 (induced by source paper "object placement planning and optimization for robot manipulators"):
  with members:
    - "ffrob leveraging symbolic planning for efficient task and motion planning"
    - "closed chain manipulation of large objects by multi arm robotic systems"
    - "data driven grasp synthesis a survey"
    - "learning to place new objects in a scene"

Connected through hyperedge HE-3 (induced by source paper "manipulation planning under changing external forces"):
  with members:
    - "developing and comparing single arm and dual arm regrasp"

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)