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 "the openuav swarm simulation testbed a collaborative designstudio for field robotics"):
  Abstract: In this paper, we showcase a multi-robot design studio where simulation containers are browser accessible Lubuntu desktops. Our simulation testbed, based on ROS, Gazebo, PX4 flight stack has been developed to tackle higher-level challenging tasks such as mission planning, vision-based problems, collision avoidance, and multi-robot coordination for Unpiloted Aircraft Systems (UAS). The novel architecture is built around TurboVNC and noVNC WebSockets technology, to seamlessly provide real-time web performance for 3D rendering in a collaborative design tool. We have built upon our previous work that leveraged concurrent multi-UAS simulations, and extended it to be useful for underwater, airship and ground vehicles. This opens up the possibility for both rigorous Monte Carlo styled software testing of heterogeneous swarm simulations, as well as sampling-based optimization of mission parameters. The new OpenUAV architecture has native support for ROS, PX4 and QGroundControl. Two case studies in the paper illustrate the development of UAS missions in the latest OpenUAV setup. The first example highlights the development of a visual-servoing technique for UAS descent on a target. Second case study referred to as terrain relative navigation (TRN) involves creating a reactive planner for UAS navigation by keeping a constant distance from the terrain.

Includes members:
  Member "flightgoggles photorealistic sensor simulation for perception driven robotics using photogrammetry and virtual reality":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "airsim drone racing lab")
  Member "geomorphological analysis using unpiloted aircraft systems structure from motion and deep learning":
    also connected through other hyperedges:
      (none)
  Member "airsim high fidelity visual and physical simulation for autonomous vehicles":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "deep reinforcement learning for autonomous driving a survey")
  Member "learning from the hindsight plan episodic mpc improvement":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "information theoretic model predictive q learning")

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)