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 "feasible region an actuation aware extension of the support region"):
  Abstract: In legged locomotion the support region is defined as the 2D horizontal convex area where the robot is able to support its own body weight in static conditions. Despite this definition, when the joint-torque limits (actuation limits) are hit, the robot can be unable to carry its own body weight, even when the projection of its Center of Mass (CoM) lies inside the support region. In this manuscript we overcome this inconsistency by defining the Feasible Region, a revisited support region that guarantees both global static stability of the robot and the existence of a set of joint torques that are able to sustain the body weight. Thanks to the usage of an Iterative Projection (IP) algorithm, we show that the Feasible Region can be efficiently employed for online motion planning of loco-manipulation tasks for both humanoids and quadrupeds. Unlike the classical support region, the Feasible Region represents a local measure of the robots robustness to external disturbances and it must be recomputed at every configuration change. For this, we also propose a global extension of the Feasible Region that is configuration independent and only needs to be recomputed at every stance change.

Includes members:
  Member "heuristic planning for rough terrain locomotion in presence of external disturbances and variable perception quality":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "stance locomotion adaptation over soft terrain")
  Member "application of wrench based feasibility analysis to the online trajectory optimization of legged robots":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "optimizing dynamic trajectories for robustness to disturbances using polytopic projections")
  Member "dynamic walking over rough terrains by nonlinear predictive control of the floating base inverted pendulum":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "biped stabilization by linear feedback of the variable height inverted pendulum model")
  Member "when to make a step tackling the timing problem in multi contact locomotion by topp mpc":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "whole body walking generation using contact parametrization a non linear trajectory optimization approach")
  Member "structured contact force optimization for kino dynamic motion generation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "accelerated admm based trajectory optimization for legged locomotion with coupled rigid body dynamics")
  Member "minkowski sum of polytopes defined by their vertices":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "robust estimation prediction and control with linear dynamics and generic costs")
  Member "minkowski sum of hv polytopes in rn":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "adapting polytopes dimension for managing degrees of freedom in tolerancing analysis")

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)