Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Liam Paull"'
Publikováno v:
IEEE Robotics and Automation Letters. 7:9271-9278
Commonly, learning-based topological navigation approaches produce a local policy while preserving some loose connectivity of the space through a topological map. Nevertheless, spurious or missing edges in the topological graph often lead to navigati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53251c3e2bd708873c32751d5db1b666
https://doi.org/10.1109/lra.2022.3189164
https://doi.org/10.1109/lra.2022.3189164
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0166c2cd5fba69224dc08502c2c40dd4
https://doi.org/10.1109/icra46639.2022.9811903
https://doi.org/10.1109/icra46639.2022.9811903
Autor:
Teddy Ort, Rohan Banerjee, Igor Gilitschenski, Dhaivat Bhatt, Sai Krishna Gottipati, Liam Paull, Krishna Murthy, Daniela Rus
Publikováno v:
Other repository
In this work, we present MapLite: a one-click autonomous navigation system capable of piloting a vehicle to an arbitrary desired destination point given only a sparse publicly available topometric map (from OpenStreetMap). The onboard sensors are use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07a5d49d1dcbbdc1237b2e369ba41183
https://doi.org/10.1109/lra.2019.2961051
https://doi.org/10.1109/lra.2019.2961051
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197680
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d4f9e3c74404bd4d4b746eb2166fd5e
https://doi.org/10.1007/978-3-031-19769-7_9
https://doi.org/10.1007/978-3-031-19769-7_9
In many situations it is either impossible or impractical to develop and evaluate agents entirely on the target domain on which they will be deployed. This is particularly true in robotics, where doing experiments on hardware is much more arduous tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ea293c0972d01a4e922139adc93f263
http://arxiv.org/abs/2109.14516
http://arxiv.org/abs/2109.14516
Publikováno v:
IEEE Robotics and Automation Letters. 4:4394-4401
Active localization is the problem of generating robot actions that allow it to maximally disambiguate its pose within a reference map. Traditional approaches to this use an information-theoretic criterion for action selection and hand-crafted percep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5933af9b2d1f775af79fa48cd56cc9e2
https://doi.org/10.1109/lra.2019.2932575
https://doi.org/10.1109/lra.2019.2932575
Publikováno v:
CRV
Teaching robots how to execute tasks through demonstrations is appealing since it sidesteps the need to explicitly specify a reward function. However, posing imitation learning as a simple supervised learning problem suffers from the well-known probl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a26b7f1a37a70dc2592aff3aa278ef4d
https://doi.org/10.1109/crv52889.2021.00018
https://doi.org/10.1109/crv52889.2021.00018
Publikováno v:
CRV
The Koopman operator provides a means to represent nonlinear systems as infinite dimensional linear systems in a lifted state space. This enables the application of linear control techniques to nonlinear systems. However, the choice of a finite numbe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::047949058a68b2535064397d501a589a
https://doi.org/10.1109/crv52889.2021.00029
https://doi.org/10.1109/crv52889.2021.00029
Autor:
Emilio Frazzoli, Gianmarco Bernasconi, Amaury Camus, Bhairav Mehta, Matthew R. Walter, Liam Paull, Andrea Censi, Jacopo Tani, Rohit Suri, Andrea F. Daniele, Aleksandar Petrov, Anthony Courchesne, Tomasz Zaluska
Publikováno v:
IROS
As robotics matures and increases in complexity, it is more necessary than ever that robot autonomy research be reproducible. Compared to other sciences, there are specific challenges to benchmarking autonomy, such as the complexity of the software s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73846c72375d5314861335d6a1dafac8
http://arxiv.org/abs/2009.04362
http://arxiv.org/abs/2009.04362
Publikováno v:
ICRA
The question of "representation" is central in the context of dense simultaneous localization and mapping (SLAM). Learning-based approaches have the potential to leverage data or task performance to directly inform the representation. However, blendi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::369a12e626a8c7395dd24f63e72a3504
https://doi.org/10.1109/icra40945.2020.9197519
https://doi.org/10.1109/icra40945.2020.9197519