human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "Mobile robot vision-based navigation using self-organizing and incremental neural networks"
  Abstract: A new approach for vision-based navigation in mobile robots is presented. Instead of incremental spectral clustering (ISC), which is considered state-of-the-art, the method of self-organizing incremental neural networks (SOINN) is used for visual space clustering. Using SOINN, the number of nodes in the topological map matches well with the environment. The time used for incremental map building is markedly less than that used for ISC. Furthermore, the rate of single image classification is higher than that of ISC.

Connected through hyperedge HE-1 (induced by source paper "WebotsTM: Professional Mobile Robot Simulation"):
  with members:
    - "Swarm robotic odor localization: Off-line optimization and validation with real robots"
    - "Dynamic Imitation in a Humanoid Robot through Nonparametric Probabilistic Inference."
    - "Scenic: Language-Based Scene Generation"

Connected through hyperedge HE-2 (induced by source paper "Mobile robot navigation and target tracking system"):
  with members:
    - "Real-time plane segmentation and obstacle detection of 3d point clouds for indoor scenes"

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science