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 "planning under non rational perception of uncertain spatial costs"):
  Abstract: This work investigates the design of motion planning strategies that can incorporate non-rational perception of risks associated with uncertain spatial costs. Our proposed method employs the Cumulative Prospect Theory (CPT) model to generate a perceived risk function across a given environment, which is scalable to high dimensional space. Using this, CPT-like perceived risks and path-length metrics are combined to define a cost function that is compliant with the requirements of asymptotic optimality of sampling-based motion planners (RRT*). The modeling capabilities of CPT are demonstrated in simulation by producing a rich set of meaningful paths, capturing a range of different risk perceptions in a custom environment. Furthermore, using a simultaneous perturbation stochastic approximation (SPSA) method, we investigate the capacity of these CPT-based risk-perception planners to approximate arbitrary paths drawn in the environment. We compare this adaptability with Conditional Value at Risk (CVaR), another popular risk perception model. Our simulations show that CPT is richer and able to capture a larger class of paths as compared to CVaR and expected risk in our setting.

Includes members:
  Member "gesture based human swarm interactions for formation control using interpreters":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "planning under risk and uncertainty based on prospect theoretic models")
  Member "multimodal probabilistic model based planning for human robot interaction":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "inference based strategy alignment for general sum differential games")
  Member "sampling based algorithms for optimal motion planning":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "3d dynamic scene graphs actionable spatial perception with places objects and humans")

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)