One of the fundamental challenges in robotics is object detection in unstructured environments which includes urban search and rescue (USAR). In these environments, objects' properties are not known a priori, vision is partially or totally impaired and sensing is susceptible to errors. Furthermore, the noncontact sensors such as sonar sensors, video cameras and infrared sensors used for object detection have limitations that make them inadequate for successful completion of object detection tasks in USAR. As a solution, the active touch approach for object detection is proposed.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:493964 |
| Date | January 2008 |
| Creators | Pele Odiase, Oziegbe-orhuwa |
| Publisher | University of Manchester |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
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