Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Brendan Englot"'
Autor:
Xi Lin, Yewei Huang, Dingyi Sun, Tzu-Yuan Lin, Brendan Englot, Ryan M. Eustice, Maani Ghaffari
Publikováno v:
IEEE Access, Vol 11, Pp 97239-97249 (2023)
The accuracy of RGB-D SLAM systems is sensitive to the image quality, and can be significantly compromised in adverse situations such as when input images are blurry, lacking in texture features, or overexposed. In this paper, based on Continuous Dir
Externí odkaz:
https://doaj.org/article/7c0263c04d7a4fdbbeda0edd869df7cf
Publikováno v:
IEEE Journal of Oceanic Engineering. 48:59-79
Unmanned surface vehicles (USVs) are of increasing importance to a growing number of sectors in the maritime industry, including offshore exploration, marine transportation and defence operations. A major factor in the growth in use and deployment of
Publikováno v:
Current Robotics Reports. 3:177-186
Autor:
Sanjai Narain, Dana Chee, Pranav Iyer, Emily Mak, Ricardo Valdez, Manli Zhu, Niraj Jha, Jaime Fisac, Kai-Chieh Hsu, Prerit Terway, Kishore Pochiraju, Brendan Englot, Emil Pitz, Sean Rooney, Yewei Huang
Publikováno v:
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023.
Publikováno v:
IEEE Robotics and Automation Letters. 7:4901-4908
Simultaneous localization and mapping (SLAM) is a critical capability for any autonomous underwater vehicle (AUV). However, robust, accurate state estimation is still a work in progress when using low-cost sensors. We propose enhancing a typical low-
Publikováno v:
Current Robotics Reports. 2:177-188
The era of robotics-based environmental monitoring has given rise to many interesting areas of research. A key challenge is that robotic platforms and their operations are typically constrained in ways that limit their energy, time, or travel distanc
Publikováno v:
Advances in Space Research. 65:2424-2434
This paper investigates a novel reliable feedback motion planning algorithm for steering a spacecraft to the desired position while satisfying dynamics and environmental constraints, such as actuator constraints, unexpected state constraints, bounded
We consider the problem of autonomous mobile robot exploration in an unknown environment, taking into account a robot's coverage rate, map uncertainty, and state estimation uncertainty. This paper presents a novel exploration framework for underwater
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbf1a3b1f393d4b577cdac8ab7658f79
http://arxiv.org/abs/2202.08359
http://arxiv.org/abs/2202.08359
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030954581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4ea3a1b10f49a64251fff64054eaf87
https://doi.org/10.1007/978-3-030-95459-8_41
https://doi.org/10.1007/978-3-030-95459-8_41
Autor:
Yin M. Chen, Brendan Englot
Publikováno v:
Robot Intelligence Technology and Applications 6 ISBN: 9783030976712
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::410ceb81e21d78883a93f4e119dd2a6c
https://doi.org/10.1007/978-3-030-97672-9_12
https://doi.org/10.1007/978-3-030-97672-9_12