Thesis icon

Thesis

Reinforcement learning based mapless robot navigation

Abstract:

Navigation is the one of the most fundamental capabilities required for mobile robots, allowing them to traverse from a source to a destination. Conventional approaches rely heavily on the existence of a predefined map which is costly both in time and labour to acquire. In addition, maps are only accurate at the time of acquisition and due to environmental changes degrade over time. We argue that this strict requirement of having access to a high-quality map fundamentally limits the realis...

Expand abstract

Actions


Access Document


Files:

Authors


More by this author
Division:
MPLS
Department:
Computer Science
Role:
Author

Contributors

Role:
Supervisor
Role:
Supervisor
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
UUID:
uuid:c466b944-2243-4017-aa7c-46419ddf6c94
Deposit date:
2020-04-11

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP