human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "simultaneous localization and planning for physical mobile robots via enabling dynamic replanning in belief space"
  Abstract: Simultaneous planning while localizing is a crucial ability for an autonomous robot operating under uncertainty. This paper addresses this problem by designing methods to dynamically replan while the localization uncertainty or environment map is updated. In particular, relying on sampling-based methods, the proposed online planning scheme can cope with challenging situations, including when the localization update or changes in the environment alter the homotopy class of trajectories, in which the optimal plan resides. The proposed algorithm eliminates the need for stabilization in the state-of-the-art FIRM (Feedback-based Information RoadMap) method, and outperforms its performance and success probability. Applying belief space planning to physical systems brings with it a plethora of challenges. Thus, designing computationally tractable algorithms, a key focus and contribution of this paper is to implement the proposed planner on a physical robot and show the SLAP (simultaneous localization and planning) performance under uncertainty, in changing environments, and in the presence of large disturbances such as kidnapped robot situation.

Connected through hyperedge HE-1 (induced by source paper "perception aware motion planning via multiobjective search on gpus"):
  with members:
    - "perception aware path planning"
    - "real time stochastic kinodynamic motion planning via multiobjective search on gpus"
    - "past present and future of simultaneous localization and mapping toward the robust perception age"
    - "monte carlo motion planning for robot trajectory optimization under uncertainty"

Connected through hyperedge HE-2 (induced by source paper "the shapeshifter a morphing multi agent multi modal robotic platform for the exploration of titan preprint version"):
  with members:
    - "bi directional value learning for risk aware planning under uncertainty"
    - "robust collaborative object transportation using multiple mavs"
    - "real time stochastic kinodynamic motion planning via multiobjective search on gpus"
    - "decentralized control of partially observable markov decision processes using belief space macro actions"

Connected through hyperedge HE-3 (induced by source paper "shapeshifter a multi agent multi modal robotic platform for exploration of titan"):
  with members:
    - "door slam distributed online and outlier resilient slam for robotic teams"
    - "robust collaborative object transportation using multiple mavs"

Connected through hyperedge HE-4 (induced by source paper "steap simultaneous trajectory estimation and planning"):
  with members:
    - "continuous time gaussian process motion planning via probabilistic inference"
    - "approximately optimal continuous time motion planning and control via probabilistic inference"
    - "sparse gaussian processes for continuous time trajectory estimation on matrix lie groups"
    - "voxblox incremental 3d euclidean signed distance fields for on board mav planning"
    - "non gaussian slap simultaneous localization and planning under non gaussian uncertainty in static and dynamic environments"
    - "4d crop monitoring spatio temporal reconstruction for agriculture"
    - "batch nonlinear continuous time trajectory estimation as exactly sparse gaussian process regression"

Connected through hyperedge HE-5 (induced by source paper "distributed hierarchical control for state estimation with robotic sensor networks"):
  with members:
    - "decentralized control of partially observable markov decision processes using belief space macro actions"
    - "information acquisition with sensing robots algorithms and error bounds"

Question: Please tell me which class the center node 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)