Now showing items 1-5 of 5

    • Robotic scene understanding by using a dictionary 

      Yan, Fujian; Nannapaneni, Saideep; He, Hongsheng (IEEE, 2020-01-20)
      Scene understanding is a fundamental task for intelligent robots, especially in human-robot interaction. It is challenging due to the complexity of the human environment. In this paper, the proposed method integrates ...
    • Robotic understanding of object semantics by referring to a dictionary 

      Yan, Fujian; Tran, Dang M.; He, Hongsheng (Springer Nature B.V., 2020-06-19)
      Scene understanding is a fundamental challenge for intelligent robots, especially for social robots, which are expected to have a human-like perception, comprehension, and knowledge. This paper proposes an approach to ...
    • Robotic understanding of scene contents and spatial constraints 

      Wilson, Dustin; Yan, Fujian; Sinha, Kaushik; He, Hongsheng (Springer Nature, 2018)
      The aim of this paper is to create a model which is able to be used to accurately identify objects as well as spacial relationships in a dynamic environment. This paper proposed methods to train a deep learning model which ...
    • Robotic understanding of spatial relationships using neural-logic learning 

      Yan, Fujian; Wang, Dali; He, Hongsheng (IEEE, 2021-02-23)
      Understanding spatial relations of objects is critical in many robotic applications such as grasping, manipulation, and obstacle avoidance. Humans can simply reason object’s spatial relations from a glimpse of a scene based ...
    • Semantics comprehension of entities in dictionary corpora for robot scene understanding 

      Yan, Fujian; Zhang, Yinlong; He, Hongsheng (Springer Nature, 2018)
      This paper proposes a method to help robots understand object semantics. The method presented in this paper can enhance robot’s performance and efficiency while working with ambiguous instructions to interact with unfamiliar ...