Qualitative Spatio-Temporal Representation and Reasoning for robotic applications

This paper discusses the methodology of Qualitative Spatio-Temporal Representation and Reasoning (QSTRR) for robotic applications. The goal is to develop reasoning mechanism that will allow modelling the environment and performing spatiotemporal decisions. A new approach is related to environment modelling based on robot’s perception, therefore new concepts (spatial entities) are obtained automatically, and then used in reasoning. This paper presents the results of the three experiments. Each experiment focuses on different robotic applications, such as mobile spatial assistive intelligence for spatial design, spatial design used for robotic arm integration with the environment and supervision of a teleoperated robot. Each of the experiments is considered as the proof of concept of the proposed methodology. Thus, it can be efficiently used for developing sophisticated robotic application where human-robot interaction and integration are considered as an important goal.