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 quasi static model and simulation approach for pushing grasping and jamming"
  Abstract: Quasi-static models of robotic motion with frictional contact provide a computationally efficient framework for analysis and have been widely used for planning and control of non-prehensile manipulation. In this work, we present a novel quasi-static model of planar manipulation that directly maps commanded manipulator velocities to object motion. While quasi-static models have traditionally been unable to capture grasping and jamming behaviors, our approach solves this issue by explicitly modeling the limiting behavior of a velocity-controlled manipulator. We retain the precise modeling of surface contact pressure distributions and efficient computation of contact-rich behaviors of previous methods and additionally prove existence of solutions for any desired manipulator motion. We derive continuous and time-stepping formulations, both posed as tractable Linear Complementarity Problems (LCPs).

Connected through hyperedge HE-1 (induced by source paper "describing physics for physical reasoning force based sequential manipulation planning"):
  with members:
    - "probabilistic framework for constrained manipulations and task and motion planning under uncertainty"
    - "a data efficient approach to precise and controlled pushing"
    - "reactive planar manipulation with convex hybrid mpc"
    - "towards combining htn planning and geometric task planning"

Connected through hyperedge HE-2 (induced by source paper "modeling and analysis of non unique behaviors in multiple frictional impacts"):
  with members:
    - "fundamental limitations in performance and interpretability of common planar rigid body contact models"
    - "data augmented contact model for rigid body simulation"
    - "sim to real learning agile locomotion for quadruped robots"
    - "learning data efficient rigid body contact models case study of planar impact"
    - "feedback control of the pusher slider system a story of hybrid and underactuated contact dynamics"
    - "a hybrid systems model for simple manipulation and self manipulation systems"
    - "a propagative model of simultaneous impact existence uniqueness and design consequences"

Connected through hyperedge HE-3 (induced by source paper "contact aware controller design for complementarity systems"):
  with members:
    - "modeling and analysis of non unique behaviors in multiple frictional impacts"
    - "manipulation by feel touch based control with deep predictive models"
    - "gelslim a high resolution compact robust and calibrated tactile sensing finger"
    - "leveraging contact forces for learning to grasp"
    - "lvis learning from value function intervals for contact aware robot controllers"
    - "reactive planar manipulation with convex hybrid mpc"

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)