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Thesis

Introspective classification for robot perception and decision making

Abstract:

In robotics, a classifier is often a core component of the decision-making framework. Precision and recall have been widely adopted as canonical metrics to quantify the performance of a classifier, but for applications involving mission-critical decision making, good performance in relation to these metrics is insufficient. The use of a classification framework which produces scores with inappropriate confidences will ultimately lead to the robot making bad decisions, the...

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Division:
MPLS
Department:
Engineering Science
Department:
Engineering Science
Role:
Author

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Supervisor
Role:
Supervisor
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Name:
European Community’s Seventh Framework Programme: VCharge
Grant:
269916
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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