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: "an optimal task allocation strategy for heterogeneous multi robot systems"
  Abstract: For a team of heterogeneous robots executing multiple tasks, we propose a novel algorithm to optimally allocate tasks to robots while accounting for their different capabilities. Motivated by the need that robot teams have in many real-world applications of remaining operational for long periods of time, we allow each robot to choose tasks taking into account the energy consumed by executing them, besides the global specifications on the task allocation. The tasks are encoded as constraints in an energy minimization problem solved at each point in time by each robot. The prioritization of a task over others -- effectively signifying the allocation of the task to that particular robot -- occurs via the introduction of slack variables in the task constraints. Moreover, the suitabilities of certain robots towards certain tasks are also taken into account to generate a task allocation algorithm for a team of robots with heterogeneous capabilities. The efficacy of the developed approach is demonstrated both in simulation and on a team of real robots.

Connected through hyperedge HE-1 (induced by source paper "synthesis of control barrier functions using a supervised machine learning approach"):
  with members:
    - "autonomous navigation in unknown environments using sparse kernel based occupancy mapping"
    - "control barrier functions theory and applications"
    - "end to end safe reinforcement learning through barrier functions for safety critical continuous control tasks"
    - "the lyapunov neural network adaptive stability certification for safe learning of dynamical systems"
    - "control of multi agent systems with finite time control barrier certificates and temporal logic"
    - "a reduction of imitation learning and structured prediction to no regret online learning"

Connected through hyperedge HE-2 (induced by source paper "adaptive task allocation for heterogeneous multi robot teams with evolving and unknown robot capabilities"):
  with members:
    - "control barrier functions theory and applications"
    - "self adaptive decision making mechanisms to balance the execution of multiple tasks for a multi robots team"
    - "constraint driven coordinated control of multi robot systems"
    - "the robotarium a remotely accessible swarm robotics research testbed"
    - "analysis of dynamic task allocation in multi robot systems"

Connected through hyperedge HE-3 (induced by source paper "a set theoretic approach to multi task execution and prioritization"):
  with members:
    - "control barrier functions theory and applications"
    - "persistification of robotic tasks"
    - "safety related tasks within the set based task priority inverse kinematics framework"
    - "constraint driven coordinated control of multi robot systems"
    - "multi objective compositions for collision free connectivity maintenance in teams of mobile robots"

Connected through hyperedge HE-4 (induced by source paper "control of mobile robots using barrier functions under temporal logic specifications"):
  with members:
    - "prescribed performance control guided policy improvement for satisfying signal temporal logic tasks"
    - "control of multi agent systems with finite time control barrier certificates and temporal logic"
    - "safe certificate based maneuvers for teams of quadrotors using differential flatness"
    - "distributed communication aware motion planning for multi agent systems from stl and spatel specifications"
    - "safety barrier certificates for heterogeneous multi robot systems"
    - "q learning for robust satisfaction of signal temporal logic specifications"
    - "the robotarium a remotely accessible swarm robotics research testbed"
    - "automata theory meets barrier certificates temporal logic verification of nonlinear systems"

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)