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 "time optimal path tracking online scaling with guarantees"):
  Abstract: Given a geometric path, the Time-Optimal Path Tracking problem consists in finding the control strategy to traverse the path time-optimally while regulating tracking errors caused by model inaccuracies and online perturbations. Online Scaling (OS) is a simple yet effective approach to this problem. The overall OS controller is composed of two components: (i) a path controller, which modulates the parameterization of the desired path in an online manner, yielding a reference trajectory; and (ii) a torque controller, which takes the reference trajectory and outputs torque commands for tracking. However, OS has one major drawback: the path controller might not find any feasible reference trajectory that can be tracked by the torque controller because of torque constraints. In turn, this results in degraded tracking performances. Here, we propose a new controller, termed Online Scaling with Guarantees (OSG), which is guaranteed to find a feasible reference trajectory by accounting for all possible future perturbations. Our approach is based on Robust Reachability Analysis. Simulations show that the OSG controller outperforms existing methods.

Includes members:
  Member "a new approach to time optimal path parameterization based on reachability analysis":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "teach repeat replan a complete and robust system for aggressive flight in complex environments")
  Member "implementation of nonlinear model predictive path following control for an industrial robot":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "safe and fast tracking control on a robot manipulator robust mpc and neural network control")
  Member "nonlinear model predictive control for constrained output path following":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on sensing aware model predictive path following control for a reversing general 2 trailer with a car like tractor")
  Member "a general fast and robust implementation of the time optimal path parameterization algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-4 (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)