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 "remote mobile manipulation with the centauro robot full body telepresence and autonomous operator assistance"):
  Abstract: Solving mobile manipulation tasks in inaccessible and dangerous environments is an important application of robots to support humans. Example domains are construction and maintenance of manned and unmanned stations on the moon and other planets. Suitable platforms require flexible and robust hardware, a locomotion approach that allows for navigating a wide variety of terrains, dexterous manipulation capabilities, and respective user interfaces. We present the CENTAURO system which has been designed for these requirements and consists of the Centauro robot and a set of advanced operator interfaces with complementary strength enabling the system to solve a wide range of realistic mobile manipulation tasks. The robot possesses a centaur-like body plan and is driven by torque-controlled compliant actuators. Four articulated legs ending in steerable wheels allow for omnidirectional driving as well as for making steps. An anthropomorphic upper body with two arms ending in five-finger hands enables human-like manipulation. The robot perceives its environment through a suite of multimodal sensors. The resulting platform complexity goes beyond the complexity of most known systems which puts the focus on a suitable operator interface. An operator can control the robot through a telepresence suit, which allows for flexibly solving a large variety of mobile manipulation tasks. Locomotion and manipulation functionalities on different levels of autonomy support the operation. The proposed user interfaces enable solving a wide variety of tasks without previous task-specific training. The integrated system is evaluated in numerous teleoperated experiments that are described along with lessons learned.

Includes members:
  Member "nimbro rescue solving disaster response tasks through mobile manipulation robot momaro":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "rgb d object detection and semantic segmentation for autonomous manipulation in clutter")
  Member "planning hybrid driving stepping locomotion on multiple levels of abstraction":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "value iteration networks on multiple levels of abstraction")
  Member "transferring category based functional grasping skills by latent space non rigid registration":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "autonomous bimanual functional regrasping of novel object class instances")
  Member "fast object learning and dual arm coordination for cluttered stowing picking and packing":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "joint learning of instance and semantic segmentation for robotic pick and place with heavy occlusions in clutter")
  Member "supervised autonomous locomotion and manipulation for disaster response with a centaur like robot":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "value iteration networks on multiple levels of abstraction")
  Member "autonomous dual arm manipulation of familiar objects":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "autonomous bimanual functional regrasping of novel object class instances")
  Member "transferring grasping skills to novel instances by latent space non rigid registration":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "kpam keypoint affordances for category level robotic manipulation")
  Member "anytime hybrid driving stepping locomotion planning":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "value iteration networks on multiple levels of abstraction")

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)