human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "capturability based analysis optimization and control of 3d bipedal walking"):
  Abstract: Capturability analysis of the linear inverted pendulum model (LIPM) enabled walking over even terrains based on the capture point. We generalize this analysis to the inverted pendulum model (IPM) and show how it enables 3D walking over uneven terrains based on capture inputs. Thanks to a tailored optimization scheme, we can compute these inputs fast enough for a real-time control loop. We implement this approach as open-source software and demonstrate it in simulations.

Includes members:
  Member "walking stabilization using step timing and location adjustment on the humanoid robot atlas":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "robust humanoid contact planning with learned zero and one step capturability prediction")
  Member "a new approach to time optimal path parameterization based on reachability analysis":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "teach repeat replan a complete and robust system for aggressive flight in complex environments")
  Member "step timing adjustment a step toward generating robust gaits":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "robust humanoid contact planning with learned zero and one step capturability prediction")
  Member "multi contact walking pattern generation based on model preview control of 3d com accelerations":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "biped stabilization by linear feedback of the variable height inverted pendulum model")
  Member "a general fast and robust implementation of the time optimal path parameterization algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "gomp grasp optimized motion planning for bin picking")

Question: Please tell me which class the source paper 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)