Zobrazeno 1 - 10
of 11
pro vyhledávání: '"James A. Preiss"'
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783031255540
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f282354e9192886c8f1ba5cf223d344a
https://doi.org/10.1007/978-3-031-25555-7_16
https://doi.org/10.1007/978-3-031-25555-7_16
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cee550b57332f0f7e6c20d102e70e488
https://doi.org/10.1109/icra46639.2022.9812189
https://doi.org/10.1109/icra46639.2022.9812189
Publikováno v:
IROS
We propose a centralized control framework to select suitable robots from a heterogeneous pool and place them at appropriate locations to monitor a region for events of interest. In the event of a robot failure, our framework repositions robots in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ba9aba961e3a3c5c0e70d64175c67b5
https://doi.org/10.1109/iros45743.2020.9340871
https://doi.org/10.1109/iros45743.2020.9340871
Publikováno v:
IEEE Transactions on Robotics. 34:856-869
We describe a method for multirobot trajectory planning in known, obstacle-rich environments. We demonstrate our approach on a quadrotor swarm navigating in a warehouse setting. Our method consists of following three stages: 1) roadmap generation tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51de61cc713234b664809e88f8c44ef0
https://doi.org/10.1109/tro.2018.2853613
https://doi.org/10.1109/tro.2018.2853613
Publikováno v:
IEEE Robotics and Automation Letters. 2:1770-1777
We study the nonlinear observability of a system's states in view of how well they are observable and what control inputs would improve the convergence of their estimates. We use these insights to develop an observability-aware trajectory-optimizatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f448bceb7ef2ff49a3c59f324641e1a7
https://doi.org/10.1109/lra.2017.2647799
https://doi.org/10.1109/lra.2017.2647799
Publikováno v:
IROS
We present an end-to-end deep learning approach for performing metric scale-sensitive regression tasks such visual odometry with a single camera and no additional sensors. We propose a novel 3D convolutional architecture, 3DC-VO, that can leverage te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff86b301aee4f8b7e23e8236f880561f
https://doi.org/10.1109/iros40897.2019.8967919
https://doi.org/10.1109/iros40897.2019.8967919
Publikováno v:
IROS
We propose a method to maintain high resource in a networked heterogeneous multi-robot system to resource failures. In our model, resources such as and computation are available on robots. The robots engaged in a joint task using these pooled resourc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::597cf4e6619a608a14da0bcc49154559
Publikováno v:
IROS
Quadrotor stabilizing controllers often require careful, model-specific tuning for safe operation. We use reinforcement learning to train policies in simulation that transfer remarkably well to multiple different physical quadrotors. Our policies are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e3e24ca4bc2b692513f43ce74716cf6
Publikováno v:
Robotics: Science and Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e6f69b4dd8ee9eb1526f8a677c56302
https://doi.org/10.15607/rss.2017.xiii.054
https://doi.org/10.15607/rss.2017.xiii.054
Publikováno v:
ICRA
We define a system architecture for a large swarm of miniature quadcopters flying in dense formation indoors. The large number of small vehicles motivates novel design choices for state estimation and communication. For state estimation, we develop a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cac3bef1e3f6da8973f037f6030dffb1
https://doi.org/10.1109/icra.2017.7989376
https://doi.org/10.1109/icra.2017.7989376