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 "a planning and control framework for humanoid systems robust optimal and real time performance"):
  Abstract: Humanoid robots are increasingly demanded to operate in interactive and human-surrounded environments while achieving sophisticated locomotion and manipulation tasks. To accomplish these tasks, roboticists unremittingly seek for advanced methods that generate whole-body coordination behaviors and meanwhile fulfill various planning and control objectives. Undoubtedly, these goals pose fundamental challenges to the robotics and control community. To take an incremental step towards reducing the performance gap between theoretical foundations and real implementations, we present a planning and control framework for the humanoid, especially legged robots, for achieving high performance and generating agile motions. A particular concentration is on the robust, optimal and real-time performance. This framework constitutes three hierarchical layers: First, we present a robust optimal phase-space planning framework for dynamic legged locomotion over rough terrain. This framework is a hybrid motion planner incorporating a series of pivotal components. Second, we take a step toward formally synthesizing high-level reactive planners for whole-body locomotion in constrained environments. We formulate a two-player temporal logic game between the contact planner and its possibly-adversarial environment. Third, we propose a distributed control architecture for the latency-prone humanoid robotic systems. A central experimental phenomenon is observed that the stability of high impedance distributed controllers is highly sensitive to damping feedback delay but much less to stiffness feedback delay. We pursue a detailed analysis of the distributed controllers where damping feedback effort is executed in proximity to the control plant, and stiffness feedback effort is implemented in a latency-prone centralized control process.

Includes members:
  Member "robot impedance control and passivity analysis with inner torque and velocity feedback loops":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "stance locomotion adaptation over soft terrain")
  Member "momentum control with hierarchical inverse dynamics on a torque controlled humanoid":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "multi agent manipulation via locomotion using hierarchical sim2real")
  Member "funnel libraries for real time robust feedback motion planning":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "probably approximately correct vision based planning using motion primitives")
  Member "a framework for planning and controlling non periodic bipedal locomotion":
    also connected through other hyperedges:
      (none)
  Member "stability and performance limits of latency prone distributed feedback controllers":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "controlit a software framework for whole body operational space control")
  Member "full body collision detection and reaction with omnidirectional mobile platforms a step towards safe human robot interaction":
    also connected through other hyperedges:
      (none)
  Member "controlit a software framework for whole body operational space control":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "distributed impedance control of latency prone robotic systems with series elastic actuation")
  Member "zmp support areas for multi contact mobility under frictional constraints":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "biped stabilization by linear feedback of the variable height inverted pendulum model")

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)