Abstract
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.
Original language | English |
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Title of host publication | IntelliSys 2015 - Proceedings of 2015 SAI Intelligent Systems Conference |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 280-282 |
Number of pages | 3 |
ISBN (Electronic) | 9781467376068 |
DOIs | |
Publication status | Published - 21 Dec 2015 |
Externally published | Yes |
Event | 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) |
Conference
Conference | Science and Information Intelligent Systems Conference |
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Abbreviated title | IntelliSys 2015 |
Country/Territory | United Kingdom |
City | London |
Period | 10/11/15 → 11/11/15 |
Internet address |
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