Mobile robots are used for exploration and object manipulation in hazardous environments, but in many cases human presence is still required posing a risk to the health and safety of the human operator. In order to operate fully autonomously in a completely unknown environment a mobile robot is required to both create a map of its environment and localize itself; this is known as simultaneous localization and mapping (SLAM). SLAM is a very active area of robotics research but many robot platforms using this technique are relatively large and more sophisticated than the mobile robot featured in this work. This work proposes a small, low-cost mobile robot platform for the autonomous retrieval of an object in a completely unknown environment using OpenRatSLAM. The main contribution of this project will be the implementation of a SLAM algorithm used in conjunction with vision based object recognition on a Lego NXT mobile robot.
|Title of host publication
|IntelliSys 2015 - Proceedings of 2015 SAI Intelligent Systems Conference
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 21 Dec 2015
|Science and Information Intelligent Systems Conference - Canary Wharf, London, United Kingdom
Duration: 10 Nov 2015 → 11 Nov 2015
http://saiconference.com/Conferences/IntelliSys2015 (Link to Conference Information)
|Science and Information Intelligent Systems Conference
|10/11/15 → 11/11/15