Simultaneous Localisation and Mapping to Reach Linguistically-Defined Targets

Printer-friendly versionSend by email
Conference Proceedings (fully refereed)
Charalambos Rossides & Stasinos Konstantopoulos
This paper introduces a framework that allows humans to give highly abstract navigation instructions to mobile robots. It uses simultaneous localisation and mapping (SLAM) to navigate a mobile robot through an unknown environment and combines it with a structured, pseudo-human language for describing the navigation instructions. This combination allows for the design of mobile robot navigation systems that may use any SLAM algorithm and any language that satisfies certain requirements. The described framework delineates the requirements that the SLAM system and the language must meet for this combination to work. It operates on the basis of having a robot carry out a task other than to create a map, resulting in the robot being able to start moving towards its target before even mapping the environment. The core innovation is the definition of a method for driving robot movement in a way that balances between reducing map uncertainty and reaching the requested target. Our method generalises the state-of-art in that it falls back to the conventional explore-then-navigate paths in the absence of a specific target, but focuses on following the navigation instructions when such are provided.
Software and Knowledge Engineering Laboratory (SKEL)
Conference Short Name: 
Conference Full Name: 
9th Hellenic Conference on Artificial Intelligence
Conference Country: 
Conference City: 
Conference Venue: 
Grand Hotel Palace
Conference Date(s): 
Wed, 18/05/2016 - Fri, 20/05/2016
Conference Level: 

© 2018 - Institute of Informatics and Telecommunications | National Centre for Scientific Research "Demokritos"

Terms of Service and Privacy Policy