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: "child sized 3d printed igus humanoid open platform"
  Abstract: The use of standard platforms in the field of humanoid robotics can accelerate research, and lower the entry barrier for new research groups. While many affordable humanoid standard platforms exist in the lower size ranges of up to 60cm, beyond this the few available standard platforms quickly become significantly more expensive, and difficult to operate and maintain. In this paper, the igus Humanoid Open Platform is presented---a new, affordable, versatile and easily customisable standard platform for humanoid robots in the child-sized range. At 90cm, the robot is large enough to interact with a human-scale environment in a meaningful way, and is equipped with enough torque and computing power to foster research in many possible directions. The structure of the robot is entirely 3D printed, allowing for a lightweight and appealing design. The electrical and mechanical designs of the robot are presented, and the main features of the corresponding open-source ROS software are discussed. The 3D CAD files for all of the robot parts have been released open-source in conjunction with this paper.

Connected through hyperedge HE-1 (induced by source paper "online visual robot tracking and identification using deep lstm networks"):
  with members:
    - "a monocular vision system for playing soccer in low color information environments"
    - "real time visual tracking and identification for a team of homogeneous humanoid robots"
    - "lstm a search space odyssey"
    - "robust and real time deep tracking via multi scale domain adaptation"
    - "tracking the untrackable learning to track multiple cues with long term dependencies"
    - "globally consistent multi people tracking using motion patterns"
    - "end to end tracking and semantic segmentation using recurrent neural networks"
    - "deep tracking seeing beyond seeing using recurrent neural networks"

Connected through hyperedge HE-2 (induced by source paper "nimbro op2x adult sized open source 3d printed humanoid robot"):
  with members:
    - "on the convergence of adam and beyond"
    - "grown up nimbro robots winning robocup 2017 humanoid adultsize soccer competitions"
    - "fused angles a representation of body orientation for balance"
    - "omnidirectional bipedal walking with direct fused angle feedback mechanisms"
    - "a ros based software framework for the nimbro op humanoid open platform"
    - "a monocular vision system for playing soccer in low color information environments"
    - "combining simulations and real robot experiments for bayesian optimization of bipedal gait stabilization"
    - "nimbro op2 grown up 3d printed open humanoid platform for research"

Connected through hyperedge HE-3 (induced by source paper "combining simulations and real robot experiments for bayesian optimization of bipedal gait stabilization"):
  with members:
    - "fused angles a representation of body orientation for balance"
    - "omnidirectional bipedal walking with direct fused angle feedback mechanisms"
    - "bayesian optimization using domain knowledge on the atrias biped"
    - "virtual vs real trading off simulations and physical experiments in reinforcement learning with bayesian optimization"
    - "automatic lqr tuning based on gaussian process global optimization"
    - "safe controller optimization for quadrotors with gaussian processes"

Connected through hyperedge HE-4 (induced by source paper "comparing computing platforms for deep learning on a humanoid robot"):
  with members:
    - "mobilenets efficient convolutional neural networks for mobile vision applications"
    - "deep learning in robotics a review of recent research"
    - "learning hand eye coordination for robotic grasping with deep learning and large scale data collection"
    - "ssd single shot multibox detector"
    - "speed accuracy trade offs for modern convolutional object detectors"
    - "microsoft coco common objects in context"

Connected through hyperedge HE-5 (induced by source paper "grown up nimbro robots winning robocup 2017 humanoid adultsize soccer competitions"):
  with members:
    - "learning to improve capture steps for disturbance rejection in humanoid soccer"
    - "omnidirectional bipedal walking with direct fused angle feedback mechanisms"
    - "robocup 2016 humanoid teensize winner nimbro robust visual perception and soccer behaviors"
    - "a monocular vision system for playing soccer in low color information environments"
    - "nimbro op2 grown up 3d printed open humanoid platform for research"

Connected through hyperedge HE-6 (induced by source paper "online balanced motion generation for humanoid robots"):
  with members:
    - "fused angles a representation of body orientation for balance"
    - "prioritized optimal control"
    - "balancing experiments on a torque controlled humanoid with hierarchical inverse dynamics"

Connected through hyperedge HE-7 (induced by source paper "nimbro op2 grown up 3d printed open humanoid platform for research"):
  with members:
    - "fused angles a representation of body orientation for balance"
    - "a ros based software framework for the nimbro op humanoid open platform"
    - "humanoid teensize open platform nimbro op"

Connected through hyperedge HE-8 (induced by source paper "robocup 2016 humanoid teensize winner nimbro robust visual perception and soccer behaviors"):
  with members:
    - "fused angles a representation of body orientation for balance"
    - "omnidirectional bipedal walking with direct fused angle feedback mechanisms"

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)