Does your common sense allow you to believe that robots can have common sense too?
MSc Keerthi Kumar Doreswamy
Ústav informatiky, PF UPJŠ
Finding objects in human environments requires autonomous mobile robots to use common sense reasoning about potential object locations and to plan to perceive them accordingly. By using information about the 3D structure of the environment, knowledge about landmark objects and their spatial relationship to the sought object, search can be improved by directing the robot towards the most likely object locations. In this talk I will discuss the design, implementation and evaluation of an approach for searching for objects on the basis of Qualitative Spatial Relations (QSRs) such as left-of and in-front-of. On the basis of QSRs between landmarks and the sought object we generate metric poses of potential object locations using an extended version of the ternary point calculus and employ this information for view planning. I will discuss results showing that search methods based on QSRs are faster and more reliable than methods not considering them.