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 "whole body mpc for a dynamically stable mobile manipulator"):
  Abstract: Autonomous mobile manipulation offers a dual advantage of mobility provided by a mobile platform and dexterity afforded by the manipulator. In this paper, we present a whole-body optimal control framework to jointly solve the problems of manipulation, balancing and interaction as one optimization problem for an inherently unstable robot. The optimization is performed using a Model Predictive Control (MPC) approach; the optimal control problem is transcribed at the end-effector space, treating the position and orientation tasks in the MPC planner, and skillfully planning for end-effector contact forces. The proposed formulation evaluates how the control decisions aimed at end-effector tracking and environment interaction will affect the balance of the system in the future. We showcase the advantages of the proposed MPC approach on the example of a ball-balancing robot with a robotic manipulator and validate our controller in hardware experiments for tasks such as end-effector pose tracking and door opening.

Includes members:
  Member "feedback mpc for torque controlled legged robots":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "mpc net a first principles guided policy search")
  Member "frequency aware model predictive control":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "stance locomotion adaptation over soft terrain")
  Member "hierarchical optimization for whole body control of wheeled inverted pendulum humanoids":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "online dynamic motion planning and control for wheeled biped robots")
  Member "a whole body model predictive control scheme including external contact forces and com height variations":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a robust model based biped locomotion framework based on three mass model from planning to control")
  Member "a mpc walking framework with external contact forces":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "learning generalizable locomotion skills with hierarchical reinforcement learning")
  Member "real time motion planning of legged robots a model predictive control approach":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "whole body control of a mobile manipulator using end to end reinforcement learning")
  Member "an efficient optimal planning and control framework for quadrupedal locomotion":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "mpc net a first principles guided policy search")
  Member "automatic differentiation of rigid body dynamics for optimal control and estimation":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "automatic differentiation and continuous sensitivity analysis of rigid body dynamics")

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)