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 board communication based relative localization for collision avoidance in micro air vehicle teams"):
  Abstract: Micro Air Vehicles (MAVs) will unlock their true potential once they can operate in groups. To this end, it is essential for them to estimate on-board the relative location of their neighbors. The challenge lies in limiting the mass and processing burden needed to enable this. We developed a relative localization method that only requires the MAVs to communicate via their wireless transceiver. Communication allows the exchange of on-board states (velocity, height, and orientation), while the signal-strength provides range data. These quantities are fused to provide a full relative location estimate. We used our method to tackle the problem of collision avoidance in tight areas. The system was tested with a team of AR.Drones flying in a 4mx4m area and with miniature drones of ~50g in a 2mx2m area. The MAVs were able to track their relative positions and fly several minutes without collisions. Our implementation used Bluetooth to communicate between the drones. This featured significant noise and disturbances in signal-strength, which worsened as more drones were added. Simulation analysis suggests that results can improve with a more suitable transceiver module.

Includes members:
  Member "efficient optical flow and stereo vision for velocity estimation and obstacle avoidance on an autonomous pocket drone":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "hundred drones land in a minute")
  Member "local histogram matching for efficient optical flow computation applied to velocity estimation on pocket drones":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a 64 mw dnn based visual navigation engine for autonomous nano drones")
  Member "optical flow based self supervised learning of obstacle appearance applied to mav landing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "mining minimal map segments for visual place classifiers")
  Member "3 d reciprocal collision avoidance on physical quadrotor helicopters with on board sensing for relative positioning":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "robust target relative localization with ultra wideband ranging and communication")
  Member "outdoor flocking and formation flight with autonomous aerial robots":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "tracking of micro unmanned aerial vehicles a comparative study")

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)