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: "rmpflow a computational graph for automatic motion policy generation"
  Abstract: We develop a novel policy synthesis algorithm, RMPflow, based on geometrically consistent transformations of Riemannian Motion Policies (RMPs). RMPs are a class of reactive motion policies designed to parameterize non-Euclidean behaviors as dynamical systems in intrinsically nonlinear task spaces. Given a set of RMPs designed for individual tasks, RMPflow can consistently combine these local policies to generate an expressive global policy, while simultaneously exploiting sparse structure for computational efficiency. We study the geometric properties of RMPflow and provide sufficient conditions for stability. Finally, we experimentally demonstrate that accounting for the geometry of task policies can simplify classically difficult problems, such as planning through clutter on high-DOF manipulation systems.

Connected through hyperedge HE-1 (induced by source paper "camera to robot pose estimation from a single image"):
  with members:
    - "rethinking on multi stage networks for human pose estimation"
    - "dpod 6d pose object detector and refiner"
    - "real time 3d traffic cone detection for autonomous driving"
    - "deep high resolution representation learning for human pose estimation"
    - "implicit 3d orientation learning for 6d object detection from rgb images"
    - "deep object pose estimation for semantic robotic grasping of household objects"
    - "real time highly accurate robotic grasp detection using fully convolutional neural networks with high resolution images"
    - "simple baselines for human pose estimation and tracking"

Connected through hyperedge HE-2 (induced by source paper "motion reasoning for goal based imitation learning"):
  with members:
    - "representing robot task plans as robust logical dynamical systems"
    - "d3tw discriminative differentiable dynamic time warping for weakly supervised action alignment and segmentation"
    - "dexpilot vision based teleoperation of dexterous robotic hand arm system"
    - "scaling egocentric vision the epic kitchens dataset"
    - "explicability legibility predictability transparency privacy security the emerging landscape of interpretable agent behavior"
    - "zero shot visual imitation"
    - "neural task graphs generalizing to unseen tasks from a single video demonstration"
    - "beyond imitation zero shot task transfer on robots by learning concepts as cognitive programs"

Connected through hyperedge HE-3 (induced by source paper "riemannian motion policy fusion through learnable lyapunov function reshaping"):
  with members:
    - "stable concurrent controller composition for multi objective robotic tasks"
    - "representing robot task plans as robust logical dynamical systems"
    - "multi objective policy generation for multi robot systems using riemannian motion policies"
    - "learning latent space dynamics for tactile servoing"
    - "riemannian motion policies"
    - "convergence of value aggregation for imitation learning"
    - "fast policy learning through imitation and reinforcement"
    - "approximately optimal continuous time motion planning and control via probabilistic inference"

Connected through hyperedge HE-4 (induced by source paper "dexpilot vision based teleoperation of dexterous robotic hand arm system"):
  with members:
    - "making convolutional networks shift invariant again"
    - "learning joint reconstruction of hands and manipulated objects"
    - "learning latent plans from play"
    - "generalized feedback loop for joint hand object pose estimation"
    - "openpose realtime multi person 2d pose estimation using part affinity fields"
    - "task oriented hand motion retargeting for dexterous manipulation imitation"
    - "vision based teleoperation of shadow dexterous hand using end to end deep neural network"
    - "neural kinematic networks for unsupervised motion retargetting"

Connected through hyperedge HE-5 (induced by source paper "representing robot task plans as robust logical dynamical systems"):
  with members:
    - "behavior trees in robotics and ai an introduction"
    - "behavior trees as a representation for medical procedures"
    - "neural task graphs generalizing to unseen tasks from a single video demonstration"
    - "evaluating methods for end user creation of robot task plans"
    - "combining neural networks and tree search for task and motion planning in challenging environments"
    - "neural task programming learning to generalize across hierarchical tasks"
    - "posecnn a convolutional neural network for 6d object pose estimation in cluttered scenes"
    - "costar instructing collaborative robots with behavior trees and vision"

Connected through hyperedge HE-6 (induced by source paper "gaussians on riemannian manifolds for robot learning and adaptive control"):
  with members:
    - "the vector heat method"
    - "geometry aware manipulability learning tracking and transfer"
    - "a micro lie theory for state estimation in robotics"
    - "on manifold preintegration for real time visual inertial odometry"
    - "identification of fully physical consistent inertial parameters using optimization on manifolds"
    - "trajectory synthesis for fisher information maximization"

Connected through hyperedge HE-7 (induced by source paper "trajectory optimization for coordinated human robot collaboration"):
  with members:
    - "towards a robust aerial cinematography platform localizing and tracking moving targets in unstructured environments"
    - "riemannian motion policies"
    - "sparse gaussian processes for continuous time trajectory estimation on matrix lie groups"
    - "on the fundamental importance of gauss newton in motion optimization"
    - "newton methods for k order markov constrained motion problems"
    - "continuous inverse optimal control with locally optimal examples"

Connected through hyperedge HE-8 (induced by source paper "stable concurrent controller composition for multi objective robotic tasks"):
  with members:
    - "multi objective policy generation for multi robot systems using riemannian motion policies"
    - "riemannian motion policies"
    - "the robotarium a remotely accessible swarm robotics research testbed"
    - "multi objective compositions for collision free connectivity maintenance in teams of mobile robots"

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)