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 "on realistic target coverage by autonomous drones"):
  Abstract: Low-cost mini-drones with advanced sensing and maneuverability enable a new class of intelligent sensing systems. This trend motivated several research efforts to employ drones as standalone systems or to assist legacy deployments. However, several fundamental challenges remain unsolved including: 1) Adequate coverage of sizable targets; 2) Target orientation that render coverage effective only from certain view points; 3) Occlusion by elements in the environment, including other targets. #R##N#In this paper, we present Argus, a system that provides coverage of wide and oriented targets, using camera-mounted drones, taking into account the challenges stated above. Argus relies on a geometric model that captures both target shapes and coverage constraints. With drones being the scarcest resource in Argus, we study the problem of minimizing the number of drones required to cover a set of such targets and derive a best-possible approximation algorithm. Furthermore, we present a sampling heuristic that yields a comparable performance, yet is up to 100x faster than the approximation algorithm. We build a prototype of Argus to demonstrate and evaluate the proposed coverage algorithms as part of a complete autonomous surveillance system. We evaluate the proposed algorithms using simulations to compare their performance at scale under various conditions. Finally, we present extensions and discuss open problems related to the studied problem.

Includes members:
  Member "design challenges of multi uav systems in cyber physical applications a comprehensive survey and future directions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "dynamic radar network of uavs a joint navigation and tracking approach")
  Member "the art gallery problem is exists mathbb r complete":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "optimal curve straightening is exists mathbb r complete")
  Member "obstacle avoidance strategy using onboard stereo vision on a flapping wing mav":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "efficient optical flow and stereo vision for velocity estimation and obstacle avoidance on an autonomous pocket drone")
  Member "directing cinematographic drones":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "autonomous aerial cinematography in unstructured environments with learned artistic decision making")
  Member "towards a drone cinematographer guiding quadrotor cameras using visual composition principles":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "autonomous aerial cinematography in unstructured environments with learned artistic decision making")
  Member "wigest a ubiquitous wifi based gesture recognition system":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a survey on acoustic sensing")
  Member "ubibreathe a ubiquitous non invasive wifi based breathing estimator":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "besense leveraging wifi channel data and computational intelligence for behavior")
  Member "context aware computing for the internet of things a survey":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "urgency of information for context aware timely status updates in remote control systems")

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)