Bio-inspired multi-sensor fusion and calibration for robot place learning and recognition
Jacobson, Adam (2018) Bio-inspired multi-sensor fusion and calibration for robot place learning and recognition. PhD by Publication, Queensland University of Technology.
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Adam Jacobson Thesis (PDF 47MB) |
Description
Determining an agent's location in the world is vital for robotic navigation, path planning and co-operative behaviours. This thesis focuses on the translation of biological insights to the robotics domain to improve topological SLAM with an aim to enable robot navigation and localisation without human intervention. The primary contributions presented within this thesis are SLAM localisation techniques which are robust to environmental changes, require minimal or no human intervention for setup within a new environment and are robust to sensor failures.
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| ID Code: | 116179 |
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| Item Type: | QUT Thesis (PhD by Publication) |
| Supervisor: | Milford, Michael & Wyeth, Gordon |
| Keywords: | Bio-Inspired, Localisation, Calibration, Sensor-Fusion, Appearance-Based, Navigation, Vision, Mapping, SLAM |
| DOI: | 10.5204/thesis.eprints.116179 |
| Divisions: | Past > QUT Faculties & Divisions > Science & Engineering Faculty Past > Schools > School of Electrical Engineering & Computer Science |
| Institution: | Queensland University of Technology |
| Deposited On: | 19 Mar 2018 11:38 |
| Last Modified: | 17 Jan 2025 00:47 |
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