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 "reactive navigation in partially familiar planar environments using semantic perceptual feedback"):
  Abstract: This paper solves the planar navigation problem by recourse to an online reactive scheme that exploits recent advances in SLAM and visual object recognition to recast prior geometric knowledge in terms of an offline catalogue of familiar objects. The resulting vector field planner guarantees convergence to an arbitrarily specified goal, avoiding collisions along the way with fixed but arbitrarily placed instances from the catalogue as well as completely unknown fixed obstacles so long as they are strongly convex and well separated. We illustrate the generic robustness properties of such deterministic reactive planners as well as the relatively modest computational cost of this algorithm by supplementing an extensive numerical study with physical implementation on both a wheeled and legged platform in different settings.

Includes members:
  Member "combining optimal control and learning for visual navigation in novel environments":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "citylearn diverse real world environments for sample efficient navigation policy learning")
  Member "conceptualization of object compositions using persistent homology":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "what stands in for a missing tool a prototypical grounded knowledge based approach to tool substitution")
  Member "admissible abstractions for near optimal task and motion planning":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "anytime multi arm task and motion planning for pick and place of individual objects via handoffs")
  Member "visual memory for robust path following":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "learning view and target invariant visual servoing for navigation")
  Member "yolov3 an incremental improvement":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "perception and decision making of autonomous systems in the era of learning an overview")
  Member "sampling based methods for factored task and motion planning":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "scalable and probabilistically complete planning for robotic spatial extrusion")
  Member "fast autonomous flight in gps denied and cluttered environments":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a 3d reactive navigation algorithm for mobile robots by using tentacle based sampling")
  Member "6 dof object pose from semantic keypoints":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "unsupervised learning of category specific symmetric 3d keypoints from point sets")

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)