Conference item
SnapNav: learning mapless visual navigation with sparse directional guidance and visual reference
- Abstract:
-
Learning-based visual navigation still remains a challenging problem in robotics, with two overarching issues: how to transfer the learnt policy to unseen scenarios, and how to deploy the system on real robots. In this paper, we propose a deep neural network based visual navigation system, SnapNav. Unlike map-based navigation or Visual-Teach-andRepeat (VT&R), SnapNav only receives a few snapshots of the environment combined with directional guidance to allow it to execute the navigation task....
Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Authors
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Journal:
- Proceedings of the 2020 IEEE International Conference on Robotics and Automation (ICRA) Journal website
- Publication date:
- 2020-09-15
- Acceptance date:
- 2020-01-21
- Event title:
- 2020 International Conference on Robotics and Automation
- Event location:
- Paris, France
- Event website:
- https://www.icra2020.org/
- Event start date:
- 2020-05-31
- Event end date:
- 2020-06-04
- DOI:
- EISSN:
-
2577-087X
- ISSN:
-
1050-4729
- EISBN:
- 978-1-7281-7395-5
- ISBN:
- 978-1-7281-7396-2
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1089198
- Local pid:
- pubs:1089198
- Deposit date:
- 2020-02-27
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2020
- Rights statement:
- © IEEE 2020.
- Notes:
- This is the accepted manuscript version of the article. The final version is available from IEEE Xplore at: https://doi.org/10.1109/ICRA40945.2020.9197523
Metrics
If you are the owner of this record, you can report an update to it here: Report update to this record