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 "a hierarchal planning framework for auv mission management in a spatio temporal varying ocean"):
  Abstract: The purpose of this paper is to provide a hierarchical dynamic mission planning framework for a single autonomous underwater vehicle (AUV) to accomplish task-assign process in a limited time interval while operating in an uncertain undersea environment, where spatio-temporal variability of the operating field is taken into account. To this end, a high level reactive mission planner and a low level motion planning system are constructed. The high level system is responsible for task priority assignment and guiding the vehicle toward a target of interest considering on-time termination of the mission. The lower layer is in charge of generating optimal trajectories based on sequence of tasks and dynamicity of operating terrain. The mission planner is able to reactively re-arrange the tasks based on mission/terrain updates while the low level planner is capable of coping unexpected changes of the terrain by correcting the old path and re-generating a new trajectory. As a result, the vehicle is able to undertake the maximum number of tasks with certain degree of maneuverability having situational awareness of the operating field. The computational engine of the mentioned framework is based on the biogeography based optimization (BBO) algorithm that is capable of providing efficient solutions. To evaluate the performance of the proposed framework, firstly, a realistic model of undersea environment is provided based on realistic map data, and then several scenarios, treated as real experiments, are designed through the simulation study. Additionally, to show the robustness and reliability of the framework, Monte-Carlo simulation is carried out and statistical analysis is performed. The results of simulations indicate the significant potential of the two-level hierarchical mission planning system in mission success and its applicability for real-time implementation.

Includes members:
  Member "a novel versatile architecture for autonomous underwater vehicle s motion planning and task assignment":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "efficient deployment and mission timing of autonomous underwater vehicles in large scale operations")
  Member "auv rendezvous online path planning in a highly cluttered undersea environment using evolutionary algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "person following by autonomous robots a categorical overview")
  Member "an efficient hybrid route path planning model for dynamic task allocation and safe maneuvering of an underwater vehicle in a realistic environment":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "efficient deployment and mission timing of autonomous underwater vehicles in large scale operations")
  Member "a novel efficient task assign route planning method for auv guidance in a dynamic cluttered environment":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "efficient deployment and mission timing of autonomous underwater vehicles in large scale operations")
  Member "biogeography based combinatorial strategy for efficient autonomous underwater vehicle motion planning and task time management":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "efficient deployment and mission timing of autonomous underwater vehicles in large scale operations")
  Member "differential evolution for efficient auv path planning in time variant uncertain underwater environment":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a novel versatile architecture for autonomous underwater vehicle s motion planning and task assignment")
  Member "toward efficient task assignment and motion planning for large scale underwater mission":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a novel versatile architecture for autonomous underwater vehicle s motion planning and task assignment")
  Member "optimal route planning with prioritized task scheduling for auv missions":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "efficient deployment and mission timing of autonomous underwater vehicles in large scale operations")

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)