Using Qualitative Spatial Relations for indirect object search

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Colleges, School and Institutes


Finding objects in human environments requires autonomous mobile robots to reason 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 paper we have designed, implemented and evaluated 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. Preliminary results show that search methods based on QSRs are faster and more reliable than methods not considering them.


Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Robotics and Automation
Publication statusPublished - 22 Sep 2014
Event2014 IEEE International Conference on Robotics and Automation, ICRA 2014 - Hong Kong, China
Duration: 31 May 20147 Jun 2014


Conference2014 IEEE International Conference on Robotics and Automation, ICRA 2014
CityHong Kong