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 "non planar frictional surface contacts modeling and application to grasping"):
  Abstract: Contact modeling is essential for robotic grasping and manipulation. The relation between friction and relative body motion is fundamental for controlled pushing. An accurate friction model is indispensable for grasp analysis as the stability heavily relies on friction. To increase the grasp stability, soft fingers are widely deployed for manipulation tasks as they adapt to the object geometry, where the deformability results in a curved contact area. The friction of such curved surfaces is in six dimensions and its model is yet not well defined. To address this issue, we derive the friction computation for curved surfaces by combining concepts of differential geometry and Coulomb friction law. We further generalize two classical limit surface models from three to six dimensions, which describe the friction-motion constraints for a single contact. To analyze multi contacts for grasping, we build the grasp wrench space by merging the normal wrench and the fitted limit surfaces of each contact. The performance of the two limit surface models is evaluated with six parametric surfaces and 2473 meshed contacts obtained from simulations using the finite element method. Results indicate that the proposed models yield 1.81% fitting error of the 6D friction wrench samples. We demonstrate the applicability of the proposed models to predict grasp success for a parallel-jaw gripper. Robotic experiments suggest that a prediction accuracy of up to 92.6% can be achieved with the presented frictional contact modeling.

Includes members:
  Member "dense tactile force distribution estimation using gelslim and inverse fem":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "tactile based insertion for dense box packing")
  Member "a fast stochastic contact model for planar pushing and grasping theory and experimental validation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "let s push things forward a survey on robot pushing")
  Member "a convex polynomial force motion model for planar sliding identification and application":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "let s push things forward a survey on robot pushing")

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)