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 "towards scalable continuous time trajectory optimization for multi robot navigation"):
  Abstract: Scalable multi-robot transition is essential for ubiquitous adoption of robots. As a step towards it, a computationally efficient decentralized algorithm for continuous-time trajectory optimization in multi-robot scenarios based upon model predictive control is introduced. The robots communicate only their current states and goals rather than sharing their whole trajectory; using this data each robot predicts a continuous-time trajectory for every other robot exploiting optimal control based motion primitives that are corrected for spatial inter-robot interactions using least squares. A non linear program (NLP) is formulated for collision avoidance with the predicted trajectories of other robots. The NLP is condensed by using time as a parametrization resulting in an unconstrained optimization problem and can be solved in a fast and efficient manner. Additionally, the algorithm resizes the robot to accommodate it's trajectory tracking error. The algorithm was tested in simulations on Gazebo with aerial robots. Early results indicate that the proposed algorithm is efficient for upto forty homogeneous robots and twenty one heterogeneous robots occupying 20\% of the available space.

Includes members:
  Member "trajectory generation for multiagent point to point transitions via distributed model predictive control":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "multi agent motion planning for dense and dynamic environments via deep reinforcement learning")
  Member "online trajectory generation with distributed model predictive control for multi robot motion planning":
    also connected through other hyperedges:
      (none)
  Member "safe aggressive quadrotor flight via reachability based trajectory design":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "reachable sets for safe real time manipulator trajectory design")
  Member "continuous time trajectory optimization for decentralized multi robot navigation":
    also connected through other hyperedges:
      (none)
  Member "safe certificate based maneuvers for teams of quadrotors using differential flatness":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "control of mobile robots using barrier functions under temporal logic specifications")
  Member "linear vs nonlinear mpc for trajectory tracking applied to rotary wing micro aerial vehicles":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "airsim drone racing lab")
  Member "an effective algorithmic framework for near optimal multi robot path planning":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "deepmnavigate deep reinforced multi robot navigation unifying local global collision avoidance")
  Member "finding a needle in an exponential haystack discrete rrt for exploration of implicit roadmaps in multi robot motion planning":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "drrt scalable and informed asymptotically optimal multi robot motion planning")

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)