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: "feedback control of a cassie bipedal robot walking standing and riding a segway"
  Abstract: The Cassie bipedal robot designed by Agility Robotics is providing academics a common platform for sharing and comparing algorithms for locomotion, perception, and navigation. This paper focuses on feedback control for standing and walking using the methods of virtual constraints and gait libraries. The designed controller was implemented six weeks after the robot arrived at the University of Michigan and allowed it to stand in place as well as walk over sidewalks, grass, snow, sand, and burning brush. The controller for standing also enables the robot to ride a Segway. A model of the Cassie robot has been placed on GitHub and the controller will also be made open source if the paper is accepted.

Connected through hyperedge HE-1 (induced by source paper "iterative reinforcement learning based design of dynamic locomotion skills for cassie"):
  with members:
    - "learning agile and dynamic motor skills for legged robots"
    - "learning symmetric and low energy locomotion"
    - "progressive reinforcement learning with distillation for multi skilled motion control"
    - "using deep reinforcement learning to learn high level policies on the atrias biped"
    - "deepmimic example guided deep reinforcement learning of physics based character skills"
    - "feedback control for cassie with deep reinforcement learning"
    - "neural probabilistic motor primitives for humanoid control"
    - "active deep q learning with demonstration"

Connected through hyperedge HE-2 (induced by source paper "bayesian optimization in variational latent spaces with dynamic compression"):
  with members:
    - "learning dexterous in hand manipulation"
    - "sim to real transfer of robotic control with dynamics randomization"
    - "using deep reinforcement learning to learn high level policies on the atrias biped"
    - "zero shot skill composition and simulation to real transfer by learning task representations"
    - "sim to real learning agile locomotion for quadruped robots"
    - "state representation learning for control an overview"
    - "closing the sim to real loop adapting simulation randomization with real world experience"
    - "automatic chemical design using a data driven continuous representation of molecules"

Connected through hyperedge HE-3 (induced by source paper "improvements to target based 3d lidar to camera calibration"):
  with members:
    - "a novel dual lidar calibration algorithm using planar surfaces"
    - "automatic extrinsic calibration between a camera and a 3d lidar using 3d point and plane correspondences"
    - "lidartag a real time fiducial tag using point clouds"
    - "automatic extrinsic calibration for lidar stereo vehicle sensor setups"
    - "lidar camera calibration using 3d 3d point correspondences"
    - "faster and better a machine learning approach to corner detection"

Connected through hyperedge HE-4 (induced by source paper "feedback control for autonomous riding of hovershoes by a cassie bipedal robot"):
  with members:
    - "keep rollin whole body motion control and planning for wheeled quadrupedal robots"
    - "vins mono a robust and versatile monocular visual inertial state estimator"
    - "orb slam2 an open source slam system for monocular stereo and rgb d cameras"
    - "legged robot state estimation through combined forward kinematic and preintegrated contact factors"
    - "sampling based algorithms for optimal motion planning"

Connected through hyperedge HE-5 (induced by source paper "hybrid zero dynamics inspired feedback control policy design for 3d bipedal locomotion using reinforcement learning"):
  with members:
    - "iterative reinforcement learning based design of dynamic locomotion skills for cassie"
    - "feedback control for cassie with deep reinforcement learning"
    - "proximal policy optimization algorithms"
    - "continuous control with deep reinforcement learning"

Connected through hyperedge HE-6 (induced by source paper "0 step capturability motion decomposition and global feedback control of the 3d variable height inverted pendulum"):
  with members:
    - "capturability based pattern generation for walking with variable height"
    - "balance control using both zmp and com height variations a convex boundedness approach"
    - "dynamic walking over rough terrains by nonlinear predictive control of the floating base inverted pendulum"

Connected through hyperedge HE-7 (induced by source paper "orbit characterization stabilization and composition on 3d underactuated bipedal walking via hybrid passive linear inverted pendulum model"):
  with members:
    - "motion decoupling and composition via reduced order model optimization for dynamic humanoid walking with clf qp based active force control"
    - "bipedal hopping reduced order model embedding via optimization based control"

Connected through hyperedge HE-8 (induced by source paper "dynamic walking with compliance on a cassie bipedal robot"):
  with members:
    - "contact aided invariant extended kalman filtering for legged robot state estimation"

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)